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Journal articles on the topic 'Interactive optimisation'

Author: Grafiati

Published: 4 June 2021

Last updated: 20 February 2023

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1

Azabi, Yousef, Al Savvaris, and Timoleon Kipouros. "The Interactive Design Approach for Aerodynamic Shape Design Optimisation of the Aegis UAV." Aerospace 6, no. 4 (April 8, 2019): 42. http://dx.doi.org/10.3390/aerospace6040042.

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In this work, an interactive optimisation framework—a combination of a low fidelity flow solver, Athena Vortex Lattice (AVL), and an interactive Multi-Objective Particle Swarm Optimisation (MOPSO)—is proposed for aerodynamic shape design optimisation of any aerial vehicle platform. This paper demonstrates the benefits of interactive optimisation—reduction of computational time with high optimality levels. Progress towards the most preferred solutions is made by having the Decision Maker (DM) periodically provide preference information once the MOPSO iterations are underway. By involving the DM within the optimisation process, the search is directed to the region of interest, which accelerates the process. The flexibility and efficiency of undertaking optimisation interactively have been demonstrated by comparing the interactive results with the non-interactive results of an optimum design case obtained using Multi-Objective Tabu Search (MOTS) for the Aegis UAV. The obtained results show the superiority of using an interactive approach for the aerodynamic shape design, compared to posteriori approaches. By carrying out the optimisation using interactive MOPSO it was shown to be possible to obtain similar results to non-interactive MOTS with only half the evaluations. Moreover, much of the usual complexity of post-data-analysis with posteriori approaches is avoided, since the DM is involved in the search process.

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Garai, Arindam, Palash Mandal, and Tapan Kumar Roy. "Interactive intuitionistic fuzzy technique in multi-objective optimisation." International Journal of Fuzzy Computation and Modelling 2, no. 1 (2016): 14. http://dx.doi.org/10.1504/ijfcm.2016.077872.

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3

Skulimowski, S., M. Badurowicz, M. Barszcz, and J. Montusiewicz. "Design and optimisation methods for interactive mobile VR visualisation." IOP Conference Series: Materials Science and Engineering 710 (December 19, 2019): 012015. http://dx.doi.org/10.1088/1757-899x/710/1/012015.

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4

Tabatabaei, Mohammad, Markus Hartikainen, Karthik Sindhya, Jussi Hakanen, and Kaisa Miettinen. "An interactive surrogate-based method for computationally expensive multiobjective optimisation." Journal of the Operational Research Society 70, no. 6 (May 20, 2018): 898–914. http://dx.doi.org/10.1080/01605682.2018.1468860.

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5

Wang, Feng-Sheng, Chi-Liang Yeh, and Yieng-Chiang Wu. "PID controller tuning by an interactive multi-objective optimisation method." Transactions of the Institute of Measurement and Control 18, no. 4 (October 1996): 183–92. http://dx.doi.org/10.1177/014233129601800403.

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6

Hsiao, Y. T., and C. Y. Chien. "Optimisation of capacitor allocation using an interactive trade-off method." IEE Proceedings - Generation, Transmission and Distribution 148, no. 4 (2001): 371. http://dx.doi.org/10.1049/ip-gtd:20010358.

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Yang, Jian-Bo, and Dong-Ling Xu. "Interactive minimax optimisation for integrated performance analysis and resource planning." Computers & Operations Research 46 (June 2014): 78–90. http://dx.doi.org/10.1016/j.cor.2014.01.002.

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8

Harding, John, and Cecilie Brandt-Olsen. "Biomorpher: Interactive evolution for parametric design." International Journal of Architectural Computing 16, no. 2 (June 2018): 144–63. http://dx.doi.org/10.1177/1478077118778579.

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Combining graph-based parametric design with metaheuristic solvers has to date focused solely on performance-based criteria and solving clearly defined objectives. In this article, we outline a new method for combining a parametric modelling environment with an interactive Cluster-Orientated Genetic Algorithm. In addition to performance criteria, evolutionary design exploration can be guided through choice alone, with user motivation that cannot be easily defined. As well as numeric parameters forming a genotype, the evolution of whole parametric definitions is discussed through the use of genetic programming. Visualisation techniques that enable mixing small populations for interactive evolution with large populations for performance-based optimisation are discussed, with examples from both academia and industry showing a wide range of applications.

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Steglich, Mike. "LogisticsLab: An academic software for decision-making in logistics." Anwendungen und Konzepte der Wirtschaftsinformatik, no. 14 (December 9, 2021): 11. http://dx.doi.org/10.26034/lu.akwi.2021.3325.

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Logistical decision problems are a part of many courses in the field of logistics, management and operations research. It makes sense to illustrate these optimisation problems using case studies, which can be reproduced by students using suitable software. Often, solver add-ins in spreadsheets programs or general optimisation software are used, which on the one hand requires a high level of knowledge in Operations Research and on the other hand does not always allow an intuitive approach. This article describes the academic software LogisticsLab with which the distributors tie in with the idea of interactive decision support systems to systematically combine the experiences and intuitions of human decision-makers with the possibilities of computer-assisted modelling and optimisation of a wide range of logistical decisions.

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10

Hettenhausen, Jan, Andrew Lewis, and Timoleon Kipouros. "A Web-based System for Visualisation-driven Interactive Multi-objective Optimisation." Procedia Computer Science 29 (2014): 1915–25. http://dx.doi.org/10.1016/j.procs.2014.05.176.

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11

Chica, Manuel, Óscar Cordón, Sergio Damas, and Joaquín Bautista. "Interactive preferences in multiobjective ant colony optimisation for assembly line balancing." Soft Computing 19, no. 10 (September 10, 2014): 2891–903. http://dx.doi.org/10.1007/s00500-014-1451-1.

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12

Tyagi, Satish, and Anoop Verma. "Interactive adaptive particle swarm optimisation for optimal global supply chain design." International Journal of Integrated Supply Management 11, no. 1 (2017): 1. http://dx.doi.org/10.1504/ijism.2017.083004.

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Verma, Anoop, and Satish Tyagi. "Interactive adaptive particle swarm optimisation for optimal global supply chain design." International Journal of Integrated Supply Management 11, no. 1 (2017): 1. http://dx.doi.org/10.1504/ijism.2017.10003977.

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14

Özcan, Dinçer, Ümit Sönmez, and Levent Güvenç. "Optimisation of the Nonlinear Suspension Characteristics of a Light Commercial Vehicle." International Journal of Vehicular Technology 2013 (February 18, 2013): 1–16. http://dx.doi.org/10.1155/2013/562424.

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The optimum functional characteristics of suspension components, namely, linear/nonlinear spring and nonlinear damper characteristic functions are determined using simple lumped parameter models. A quarter car model is used to represent the front independent suspension, and a half car model is used to represent the rear solid axle suspension of a light commercial vehicle. The functional shapes of the suspension characteristics used in the optimisation process are based on typical shapes supplied by a car manufacturer. The complexity of a nonlinear function optimisation problem is reduced by scaling it up or down from the aforementioned shape in the optimisation process. The nonlinear optimised suspension characteristics are first obtained using lower complexity lumped parameter models. Then, the performance of the optimised suspension units are verified using the higher fidelity and more realistic Carmaker model. An interactive software module is developed to ease the nonlinear suspension optimisation process using the Matlab Graphical User Interface tool.

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15

Thida, Myo, How-Lung Eng, Dorothy N. Monekosso, and Paolo Remagnino. "A particle swarm optimisation algorithm with interactive swarms for tracking multiple targets." Applied Soft Computing 13, no. 6 (June 2013): 3106–17. http://dx.doi.org/10.1016/j.asoc.2012.05.019.

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16

Webber, J. P. H. "Some laminated plate optimum design studies using an interactive computer programme." Aeronautical Journal 92, no. 913 (March 1988): 107–14. http://dx.doi.org/10.1017/s0001924000022004.

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Summary An interactive computer programme, based on linear-elastic laminated plate theory, is used to study the effect of lay-up geometry on first ply failure loads. A maximum allowable strain failure criterion is used and a number of design problems are considered where searches are made for optimum lay-up configurations for typical carbon fibre reinforced plastic properties. The relative weakness of this material in tension across the fibres, is found to have a significant effect on first ply failure loads. An optimisation technique based on principal load directions is introduced and compared with the familiar 0/90/±45 lay-up configuration.

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Miettinen, K., and M. M. Makela. "Comparative Evaluation of Some Interactive Reference Point-Based Methods for Multi-Objective Optimisation." Journal of the Operational Research Society 50, no. 9 (September 1999): 949. http://dx.doi.org/10.2307/3010192.

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Miettinen, K., and M. M. Mäkelä. "Comparative evaluation of some interactive reference point-based methods for multi-objective optimisation." Journal of the Operational Research Society 50, no. 9 (September 1999): 949–59. http://dx.doi.org/10.1057/palgrave.jors.2600786.

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Fagerholt, Kjetil, and Haakon Lindstad. "TurboRouter: An Interactive Optimisation-Based Decision Support System for Ship Routing and Scheduling." Maritime Economics & Logistics 9, no. 3 (September 2007): 214–33. http://dx.doi.org/10.1057/palgrave.mel.9100180.

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20

Bélanger, C., É. Poulin, S. Aubin, W. Foster, A. Martin, É. Vigneault, J. A. M. Cunha, and L. Beaulieu. "OC-0044 Clinical evaluation of an interactive multi-criteria optimisation workflow for HDR brachytherapy." Radiotherapy and Oncology 158 (May 2021): S31—S33. http://dx.doi.org/10.1016/s0167-8140(21)06286-1.

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21

Rano, Anas Abubakar, and Roopesh Kevin Sungkur. "The impact of interactive design as a conversion rate optimisation tool for e-commerce." International Journal of Information Systems and Management 2, no. 1 (2019): 71. http://dx.doi.org/10.1504/ijisam.2019.10025254.

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Rano, Anas Abubakar, and Roopesh Kevin Sungkur. "The impact of interactive design as a conversion rate optimisation tool for e-commerce." International Journal of Information Systems and Management 2, no. 1 (2019): 71. http://dx.doi.org/10.1504/ijisam.2019.103610.

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23

Rhodes, Chris, Richard Allmendinger, and Ricardo Climent. "New Interfaces and Approaches to Machine Learning When Classifying Gestures within Music." Entropy 22, no. 12 (December 7, 2020): 1384. http://dx.doi.org/10.3390/e22121384.

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Interactive music uses wearable sensors (i.e., gestural interfaces—GIs) and biometric datasets to reinvent traditional human–computer interaction and enhance music composition. In recent years, machine learning (ML) has been important for the artform. This is because ML helps process complex biometric datasets from GIs when predicting musical actions (termed performance gestures). ML allows musicians to create novel interactions with digital media. Wekinator is a popular ML software amongst artists, allowing users to train models through demonstration. It is built on the Waikato Environment for Knowledge Analysis (WEKA) framework, which is used to build supervised predictive models. Previous research has used biometric data from GIs to train specific ML models. However, previous research does not inform optimum ML model choice, within music, or compare model performance. Wekinator offers several ML models. Thus, we used Wekinator and the Myo armband GI and study three performance gestures for piano practice to solve this problem. Using these, we trained all models in Wekinator and investigated their accuracy, how gesture representation affects model accuracy and if optimisation can arise. Results show that neural networks are the strongest continuous classifiers, mapping behaviour differs amongst continuous models, optimisation can occur and gesture representation disparately affects model mapping behaviour; impacting music practice.

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Bhattacharjee, Rohan, Debjyoti Ghosh, and Abhirup Mazumder. "A REVIEW ON HYPER-PARAMETER OPTIMISATION BY DEEP LEARNING EXPERIMENTS." Journal of Mathematical Sciences & Computational Mathematics 2, no. 4 (July 5, 2021): 532–41. http://dx.doi.org/10.15864/jmscm.2407.

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It has been found that during the runtime of a deep learning experiment, the intermediate resultant values get removed while the processes carry forward. This removal of data forces the interim experiment to roll back to a certain initial point after which the hyper-parameters or results become difficult to obtain (mostly for a vast set of experimental data). Hyper-parameters are the various constraints/measures that a learning model requires to generalise distinct data patterns and control the learning process. A proper choice and optimization of these hyper-parameters must be made so that the learning model is capable of resolving the given machine learning problem and during training, a specific performance objective for an algorithm on a dataset is optimised. This review paper aims at presenting a Parameter Optimisation for Learning (POL) model highlighting the all-round features of a deep learning experiment via an application-based programming interface (API). This provides the means of stocking, recovering and examining parameters settings and intermediate values. To ease the process of optimisation of hyper-parameters further, the model involves the application of optimisation functions, analysis and data management. Moreover, the prescribed model boasts of a higher interactive aspect and is circulating across a number of machine learning experts, aiding further utility in data management.

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Lv, Ninghua, and Jingjing Gong. "The application of virtual reality technology in the efficiency optimisation of students' online interactive learning." International Journal of Continuing Engineering Education and Life-Long Learning 32, no. 1 (2022): 35. http://dx.doi.org/10.1504/ijceell.2022.121218.

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26

Liu, Jie, Tim Dwyer, Kim Marriott, Jeremy Millar, and Annette Haworth. "Understanding the Relationship Between Interactive Optimisation and Visual Analytics in the Context of Prostate Brachytherapy." IEEE Transactions on Visualization and Computer Graphics 24, no. 1 (January 2018): 319–29. http://dx.doi.org/10.1109/tvcg.2017.2744418.

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27

Yadav, S. R., Yogesh Dashora, Ravi Shankar, Felix T. S. Chan, and M. K. Tiwari. "An interactive particle swarm optimisation for selecting a product family and designing its supply chain." International Journal of Computer Applications in Technology 31, no. 3/4 (2008): 168. http://dx.doi.org/10.1504/ijcat.2008.018155.

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DETHLEFS, NINA, and HERIBERTO CUAYÁHUITL. "Hierarchical reinforcement learning for situated natural language generation." Natural Language Engineering 21, no. 3 (January 10, 2014): 391–435. http://dx.doi.org/10.1017/s1351324913000375.

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AbstractNatural Language Generation systems in interactive settings often face a multitude of choices, given that the communicative effect of each utterance they generate depends crucially on the interplay between its physical circumstances, addressee and interaction history. This is particularly true in interactive and situated settings. In this paper we present a novel approach forsituated Natural Language Generationin dialogue that is based onhierarchical reinforcement learningand learns the best utterance for a context by optimisation through trial and error. The model is trained from human–human corpus data and learns particularly to balance the trade-off betweenefficiencyanddetailin giving instructions: the user needs to be given sufficient information to execute their task, but without exceeding their cognitive load. We present results from simulation and a task-based human evaluation study comparing two different versions of hierarchical reinforcement learning: One operates using a hierarchy of policies with a large state space and local knowledge, and the other additionally shares knowledge across generation subtasks to enhance performance. Results show that sharing knowledge across subtasks achieves better performance than learning in isolation, leading to smoother and more successful interactions that are better perceived by human users.

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Abiona, Olaitan, David Wyatt, Jasdip Koner, and Afzal Mohammed. "The Optimisation of Carrier Selection in Dry Powder Inhaler Formulation and the Role of Surface Energetics." Biomedicines 10, no. 11 (October 26, 2022): 2707. http://dx.doi.org/10.3390/biomedicines10112707.

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This review examines the effects of particle properties on drug–carrier interactions in the preparation of a dry powder inhaler (DPI) formulation, including appropriate mixing technology. The interactive effects of carrier properties on DPI formulation performance make it difficult to establish a direct cause-and-effect relationship between any one carrier property and its effect on the performance of a DPI formulation. Alpha lactose monohydrate remains the most widely used carrier for DPI formulations. The physicochemical properties of α-lactose monohydrate particles, such as particle size, shape and solid form, are profoundly influenced by the method of production. Therefore, wide variations in these properties are inevitable. In this review, the role of surface energetics in the optimisation of dry powder inhaler formulations is considered in lactose carrier selection. Several useful lactose particle modification methods are discussed as well as the use of fine lactose and force control agents in formulation development. It is concluded that where these have been investigated, the empirical nature of the studies does not permit early formulation prediction of product performance, rather they only allow the evaluation of final formulation quality. The potential to leverage particle interaction dynamics through the use of an experimental design utilising quantifiable lactose particle properties and critical quality attributes, e.g., surface energetics, is explored, particularly with respect to when a Quality-by-Design approach has been used in optimisation.

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Cresswell, Kathrin, Ann Slee, and Aziz Sheikh. "A survey exploring National Health Service ePrescribing Toolkit use and perceived usefulness amongst English hospitals." Journal of Innovation in Health Informatics 24, no. 2 (June 30, 2017): 247. http://dx.doi.org/10.14236/jhi.v24i2.905.

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Background: There is currently limited guidance for hospitals to implement ePrescribing systems. We have developed an ePrescribing Toolkit designed to support ongoing implementation, adoption and optimisation of efforts.Aim: To investigate the perceived usefulness, reported use and areas for further development of the Toolkit by ePrescribing implementers in English hospitals.Methods: Questionnaire-based survey of hospitals that have or are interested in implementing ePrescribing systems.Results: We received responses from a total of 78 individuals representing 49 English NHS Trusts (out of 82 different Trusts who were emailed the survey, 60% response rate). The overwhelming majority of respondents (92%) were familiar with the ePrescribing Toolkit and 66% reported using it to guide their ongoing implementation efforts. The majority of ePrescribing Toolkit users (85%) viewed it as a helpful resource. Implementers particularly valued the case studies describing lessons learnt from hospitals that had already implemented ePrescribing systems. Suggestions for improvement included more information in relation to the progress of hospitals implementing systems, the names of key contacts in these sites, a list of available systems and the contact details of ePrescribing vendors. Respondents also highlighted the need for more information on optimisation and specialist prescribing.Conclusions: Interactive elements and learning lessons from early adopter sites that had accumulated experiences of implementing systems was viewed as the most helpful aspect of the ePrescribing Toolkit. The Toolkit now needs to be further developed to facilitate the continuing implementation/optimisation of ePrescribing and other health information technology across the NHS.

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Garai, Arindam. "Fractile criterion iterative-interactive optimisation process for multi-objective stochastic linear programming problems in fuzzy environment." International Journal of Mathematics in Operational Research 18, no. 3 (2021): 289. http://dx.doi.org/10.1504/ijmor.2021.113588.

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Moreto, R. A. L., C. E. Thomaz, and S. P. Gimenez. "Impact of designer knowledge in the interactive evolutionary optimisation of analogue CMOS ICs by using iMTGSPICE." Electronics Letters 55, no. 1 (January 2019): 16–18. http://dx.doi.org/10.1049/el.2018.6840.

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33

Udoro, Elohor Oghenechavwuko, Tonna Ashim Anyasi, and Afam I. O. Jideani. "Interactive Effects of Chemical Pretreatment and Drying on the Physicochemical Properties of Cassava Flour Using Response Surface Methodology." International Journal of Food Science 2020 (September 26, 2020): 1–17. http://dx.doi.org/10.1155/2020/7234372.

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Calcium chloride and citric acid (0.6–3.4%w/v) were separately applied in the pretreatment of two South African cassava landraces (white and red) processed into flour at drying temperatures of 45–74°C. Optimisation using the response surface methodology showed ash (0.79–4.42%) and crude fibre (2.77–5.12%) increased as the drying temperature (DT) and concentration of pretreatment (COP) increased. Starch content (78.06–84.71%) was not influenced by the processing variables. Both pretreatments improved the lightness and whiteness index of cassava flour. Optimal processing conditions of 70°C DT and 3%w/v COP were the same for the proximate composition of cassava flour from all experimental groups.

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MANZOLLI, JONTAS, ARTEMIS MORONI, FERNANDO VON ZUBENS, and RICARDO GUDWIN. "An evolutionary approach to algorithmic composition." Organised Sound 4, no. 2 (June 1999): 121–25. http://dx.doi.org/10.1017/s1355771899002083.

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This paper presents an end-user interface that allows realtime parametric control of sound events resulting in an interactive environment, in which evolutionary computation is applied to algorithmic composition. The resulting system, Vox Populi, uses genetic algorithms to generate and evaluate a sequence of chords played as MIDI data. Harmonic, tonal and voice range fitness are used to control musical features. Based on the ordering of consonance of musical intervals, the notion of approximating a sequence of notes to its harmonically compatible note or tonal centre is used. This method employs fuzzy formalism and is posited as an optimisation approach based on factors relevant to hearing music.

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Yanagisawa, Hideyoshi, and Shuichi Fukuda. "Design optimisation for customers' KANSEI requirement: application of interactive reduct evolutional computation to industrial design with curves." International Journal of Manufacturing Technology and Management 10, no. 4 (2007): 360. http://dx.doi.org/10.1504/ijmtm.2007.012155.

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Yulianto, Dinan, Rudy Hartanto, and Paulus Insap Santosa. "An Interactive Book With Augmented Reality For Learning The Cirebon Mask Dance." JURNAL INFOTEL 10, no. 3 (August 27, 2018): 98. http://dx.doi.org/10.20895/infotel.v10i3.374.

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Today, augmented reality has an important role in human activity, especially in the field of education. The increasing capabilities of mobile devices also contribute to augmented reality to reduce real world distance with the virtual world. This paper will discuss the design and testing of iBook as media of learning the Cirebon mask dance art. iBook is a form of optimisation of traditional books based on augmented reality. The iBook designs will interact with virtual objects through direct touch on the application interface (pinch and swipe). The technical testing of iBook is a test of markerless reading ability and audio response time test. The markerless detection test resulted in minimum response time less than 1 second, minimum distance of 64 cm and a maximum distance of 3 cm, a minimum angle of 23° and a maximum angle of 90°. Tracking test obtained a minimum distance of 3 cm and a maximum distance of 71 cm, a minimum angle of 90° and a maximum angle of 16°. Any markerless detection and tracking can be done in unobstructured condition of no more than 50%. The testing of audio content obtained activation response time less than 1 second with original duration equal to active duration.

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BAIDOO, Evans. "FIREWORKS ALGORITHM FOR UNCONSTRAINED FUNCTION OPTIMIZATION PROBLEMS." Applied Computer Science 13, no. 1 (March 30, 2017): 61–74. http://dx.doi.org/10.35784/acs-2017-06.

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Modern real world science and engineering problems can be classified as multi-objective optimisation problems which demand for expedient and efficient stochastic algorithms to respond to the optimization needs. This paper presents an object-oriented software application that implements a firework optimization algorithm for function optimization problems. The algorithm, a kind of parallel diffuse optimization algorithm is based on the explosive phenomenon of fireworks. The algorithm presented promising results when compared to other population or iterative based meta-heuristic algorithm after it was experimented on five standard benchmark problems. The software application was implemented in Java with interactive interface which allow for easy modification and extended experimentation. Additionally, this paper validates the effect of runtime on the algorithm performance.

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Peñuela, Andres, Christopher Hutton, and Francesca Pianosi. "An open-source package with interactive Jupyter Notebooks to enhance the accessibility of reservoir operations simulation and optimisation." Environmental Modelling & Software 145 (November 2021): 105188. http://dx.doi.org/10.1016/j.envsoft.2021.105188.

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Khodri, M., F. Josserand-Pietri, D. Nguyen, G. Largeron, S. Fafi, E. Daeira, N. Barbet, and R. Coquard. "Nouveau concept pour la planification interactive de la radiothérapie avec modulation d’intensité par optimisation multicritères : évaluation clinique préliminaire." Cancer/Radiothérapie 18, no. 5-6 (October 2014): 613. http://dx.doi.org/10.1016/j.canrad.2014.07.079.

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Luangpaiboon, Pongchanun, and Sitthikorn Duangkaew. "Artificial Intelligence Mechanisms on Interactive Modified Simplex Method with Desirability Function for Optimising Surface Lapping Process." Mathematical Problems in Engineering 2014 (2014): 1–16. http://dx.doi.org/10.1155/2014/864586.

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A study has been made to optimise the influential parameters of surface lapping process. Lapping time, lapping speed, downward pressure, and charging pressure were chosen from the preliminary studies as parameters to determine process performances in terms of material removal, lap width, and clamp force. The desirability functions of the-nominal-the-best were used to compromise multiple responses into the overall desirability function level orDresponse. The conventional modified simplex or Nelder-Mead simplex method and the interactive desirability function are performed to optimise online the parameter levels in order to maximise theDresponse. In order to determine the lapping process parameters effectively, this research then applies two powerful artificial intelligence optimisation mechanisms from harmony search and firefly algorithms. The recommended condition of (lapping time, lapping speed, downward pressure, and charging pressure) at (33, 35, 6.0, and 5.0) has been verified by performing confirmation experiments. It showed that theDresponse level increased to 0.96. When compared with the current operating condition, there is a decrease of the material removal and lap width with the improved process performance indices of 2.01 and 1.14, respectively. Similarly, there is an increase of the clamp force with the improved process performance index of 1.58.

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Balvert, Marleen, Stefan J. van Hoof, Patrick V. Granton, Daniela Trani, Dick den Hertog, Aswin L. Hoffmann, and Frank Verhaegen. "A framework for inverse planning of beam-on times for 3D small animal radiotherapy using interactive multi-objective optimisation." Physics in Medicine and Biology 60, no. 14 (July 6, 2015): 5681–98. http://dx.doi.org/10.1088/0031-9155/60/14/5681.

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42

Hassanzadeh, Pejman, Manbir Sodhi, and Vaidyanathan Jayaraman. "A visual interactive optimisation tool for analysing alternate locations for petroleum distribution facilities: towards building an intelligent Decision-Support System." International Journal of Operational Research 4, no. 1 (2009): 1. http://dx.doi.org/10.1504/ijor.2009.021615.

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Zahir, Sajjad, Ruhul Sarker, and Ziaul Al Mahmud. "An interactive decision support system for implementing sustainable relocation strategies for adaptation to climate change: a multi-objective optimisation approach." International Journal of Mathematics in Operational Research 1, no. 3 (2009): 326. http://dx.doi.org/10.1504/ijmor.2009.024289.

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44

Agbovi, Henry K., and Lee D. Wilson. "Optimisation of orthophosphate and turbidity removal using an amphoteric chitosan-based flocculant–ferric chloride coagulant system." Environmental Chemistry 16, no. 8 (2019): 599. http://dx.doi.org/10.1071/en19100.

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Environmental contextThe fate and build-up of phosphate nutrients in aquatic environments is an urgent environmental problem affecting global water security. This study, guided by a statistical design method, optimises the flocculation properties of a biopolymer for removing orthophosphate from water. This improved technology has potential widespread applications for removal of orthophosphate from water and wastewater treatment systems. AbstractA coagulation-flocculation process was employed to remove turbidity (Ti) and orthophosphate (Pi) in aqueous media using a ferric chloride (FeCl3) and a grafted carboxymethyl chitosan (CMC) flocculant system. The amphoteric CMC-CTA flocculant was synthesised by grafting 3-chloro-2-hydroxypropyl trimethylammonium chloride (CTA) onto the biopolymer backbone of CMC. Here, CMC-CTA denotes the covalent grafting of CTA onto CMC. Optimisation of the variables for Pi and Ti removal was conducted using a jar test system based on the experimental design obtained from the response surface methodology (RSM). The Box–Behnken design was used to evaluate the individual and interactive effects of four independent variables: CMC-CTA dosage, FeCl3 dosage, pH and settling time. The RSM analysis showed that the experimental data followed a quadratic polynomial model with the following optimal conditions: [CMC-CTA]=3.0mgL−1, [FeCl3]=10.0mgL−1, pH 6.8 and settling time=35min. Optimum conditions led to a Pi removal of 96.4% and turbidity removal of 96.7% based on the RSM optimisation, in good agreement with experimental results with an initial concentration of 30.0mg PiL−1. The coagulation-flocculation process is characterised by a combination of electrostatic charge neutralisation, polymer bridging and a polymer adsorption mechanism.

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Dattoma, V., M. De Giorgi, S. Giancane, P. Manco, and A. E. Morabito. "A parametric associative modelling of aeronautical structural concepts under C 0, C 1 or C 2 continuity constraints." Aeronautical Journal 116, no. 1181 (July 2012): 727–41. http://dx.doi.org/10.1017/s0001924000007193.

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Abstract In this paper an associative-parametric approach is proposed in order to model the mesh of an aeronautical concept starting from a set of high-level structural primitives. This approach allows the designer to carry out the geometric modelling and the automatic mesh generation within one software environment in a fast and interactive way. The structural optimisation process is then simplified, with a relevant man-hours saving. A lower number of data transfers between different software is, moreover, involved with less problems related to the data corruption. To assure orders of continuity higher than C 0 between adjacent instances, a suitable mathematical description of the structural primitives has been proposed. This description assures the maintenance of the required continuity constraints when the mesh is modified. Appropriate schemes of dependences are identified to guarantee the automatic propagation of the modifications complying with the continuity constraints.

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Cipriani, L., S. Bertacchi, and G. Bertacchi. "AN OPTIMISED WORKFLOW FOR THE INTERACTIVE EXPERIENCE WITH CULTURAL HERITAGE THROUGH REALITY-BASED 3D MODELS: CASES STUDY IN ARCHAEOLOGICAL AND URBAN COMPLEXES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W11 (May 4, 2019): 427–34. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w11-427-2019.

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<p><strong>Abstract.</strong> The paper compares two workflows for the achievement of 3D models aimed at in-depth studies on the geometric features of Cultural Heritage artefacts and their dissemination. The purpose is the outlining of pros and cons of different techniques coming from entertainment and video games industry, starting from highly reliable 3D documentation of cultural assets, i.e. architectural/archaeological/urban sites. Two different possible applications are described: (i) procedural modelling used for understanding and visualising reconstruction hypotheses of the vaulted pavilions at Hadrian’s Villa, Tivoli, Rome; (ii) optimisation of 3D high-detailed models, as input files, turned into visual reliable and highly portable assets for game-engines. The first case study is focussed on creating a flexible model for evalueting reconstruction hypotheses and supplying restorers with useful hints for shape completion of ruined pavilions. The second case study makes available detailed digital contents for storytelling historical and cultural events in an attractive way, as in the case of the urban explorative model of Chiuro, a small town in northern Italy.</p>

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Osman, Rozita. "Optimization of Headspace Solid Phase Microextraction (HS-SPME) for the Extraction of Volatile Organic Compounds (VOCs) in MD2 Pineapple." Science Letters 14, no. 2 (June 1, 2020): 61. http://dx.doi.org/10.24191/sl.v14i2.9543.

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Headspace solid phase microextraction (HS-SPME) was employed for the extraction of volatile organic compounds (VOCs) in MD2 pineapple (Ananas comosus L. var. comosus cv. MD2). Optimisation of HS-SPME operating parameters was conducted using three-factor, three-level Box–Behnken response surface experimental design to evaluate the interactive effects of temperature (30 – 50 ºC), extraction time (10 – 30 min) and salting effect (1 – 3 g of salt addition) on the amount of selected VOCs. Determination of VOCs was done using gas chromatography with spectrometry detector (GC-MSD). Extraction temperature was found to be significant (p < 0.05) in increasing the amount of selected VOCs (ethyl acetate, methyl isobutyrate and butanoic acid methyl ester). Based on the maximum amount of these VOCs, the optimum operating extraction conditions for HS-SPME were set up at temperature of 30 °C, time of 29 min and salt addition of 1 g. The optimized HS-SPME conditions were employed for the extraction of VOCs from pineapple of different varieties.

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Mohammad, Nur, and Yateendra Mishra. "The Role of Demand Response Aggregators and the Effect of GenCos Strategic Bidding on the Flexibility of Demand." Energies 11, no. 12 (November 26, 2018): 3296. http://dx.doi.org/10.3390/en11123296.

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This paper presents an interactive trading decision between an electricity market operator, generation companies (GenCos), and the aggregators having demand response (DR) capable loads. Decisions are made hierarchically. At the upper-level, an electricity market operator (EMO) aims to minimise generation supply cost considering a DR transaction cost, which is essentially the cost of load curtailment. A DR exchange operator aims to minimise this transaction cost upon receiving the DR offer from the multiple aggregators at the lower level. The solution at this level determines the optimal DR amount and the load curtailment price. The DR considers the end-user’s willingness to reduce demand. Lagrangian duality theory is used to solve the bi-level optimisation. The usefulness of the proposed market model is demonstrated on interconnection of the Pennsylvania-New Jersey-Maryland (PJM) 5-Bus benchmark power system model under several plausible cases. It is found that the peak electricity price and grid-wise operation expenses under this DR trading scheme are reduced.

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Takács, I., C. M. Bye, K. Chapman, P. L. Dold, P. M. Fairlamb, and R. M. Jones. "A biofilm model for engineering design." Water Science and Technology 55, no. 8-9 (April 1, 2007): 329–36. http://dx.doi.org/10.2166/wst.2007.274.

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A biofilm model is presented for process engineering purposes – wastewater treatment plant design, upgrade and optimisation. The model belongs in the 1D dynamic layered biofilm model category, with modifications that allow it to be used with one parameter set for a large range of process situations. The biofilm model is integrated with a general activated sludge/anaerobic digestion model combined with a chemical equilibrium, precipitation and pH module. This allows the model to simulate the complex interactions that occur in the aerobic, anoxic and anaerobic layers of the biofilm. The model has been tested and is shown to match a variety of design guidelines, as well as experimental results from batch testing and full-scale plant operation. Both moving bed bioreactors (MBBR) and integrated fixed film activated sludge (IFAS) systems were simulated using the same model and parameter set. A new steady-state solver generates fast solutions and allows interactive design work with the complex model.

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Jaśkowski, Piotr. "Designing the structure of a construction project operating system using evolutionary algorithm." Budownictwo i Architektura 2, no. 1 (June 11, 2008): 019–36. http://dx.doi.org/10.35784/bud-arch.2310.

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The paper discusses the problem of designing a construction project’s organisation structure at the operating level, where tasks and processes are of “complex of operations” type. Such a system includes heterogeneous operating units (crews, teams) of a general contractor and cooperating external ones – subcontractors, that create a temporary organisation. Its structure changes according to the project schedule as the project advances. The author identified the problem of designing a construction project operating system structure from the point of a general contractor, built the system’s model and formalised it mathematically. The contractor selection process (i.e. the selection of the system’s elements) is described as the problem of triple-criteria optimisation of the schedule. The assessment of possible variants of the system’s structure is made according the criteria crucial for the project’s efficiency and the general contractor’s objectives (i.e. minimisation of project duration and cost, and keeping subcontracting to minimum – as the general contractor is assumed to be interested in making full use of their own resources). To solve the problem, a method that uses metaheuristic approach has been worked out. An evolutionary algorithm (using stochastic processes) was adapted for solving the triple-criteria schedule optimisation problem in deterministic conditions. The author developed also a heuristic algorithm to allocate limited resources of variable availability. The solutions are generated by means of an achievement scalarising function, which is based on Tchebycheff utility function. The selection of final solution can be done by analysing the approximation of whole set of non-dominated solutions on the basis of total decision maker’s preferences, or by means of Steuer’s interactive method.

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