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Relevant bibliographies by topics / Evolutionary Optimiser / Dissertations / Theses

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Dissertations / Theses on the topic 'Evolutionary Optimiser'

Author: Grafiati

Published: 4 June 2021

Last updated: 20 February 2023

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1

Damp, Lloyd Hollis. "Multi-Objective and Multidisciplinary Design Optimisation of Unmanned Aerial Vehicle Systems using Hierarchical Asynchronous Parallel Multi-Objective Evolutionary Algorithms." Thesis, The University of Sydney, 2007. http://hdl.handle.net/2123/1858.

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The overall objective of this research was to realise the practical application of Hierarchical Asynchronous Parallel Evolutionary Algorithms for Multi-objective and Multidisciplinary Design Optimisation (MDO) of UAV Systems using high fidelity analysis tools. The research looked at the assumed aerodynamics and structures of two production UAV wings and attempted to optimise these wings in isolation to the rest of the vehicle. The project was sponsored by the Asian Office of the Air Force Office of Scientific Research under contract number AOARD-044078. The two vehicles wings which were optim

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2

Damp, Lloyd Hollis. "Multi-Objective and Multidisciplinary Design Optimisation of Unmanned Aerial Vehicle Systems using Hierarchical Asynchronous Parallel Multi-Objective Evolutionary Algorithms." University of Sydney, 2007. http://hdl.handle.net/2123/1858.

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Master of Engineering (Research)<br>The overall objective of this research was to realise the practical application of Hierarchical Asynchronous Parallel Evolutionary Algorithms for Multi-objective and Multidisciplinary Design Optimisation (MDO) of UAV Systems using high fidelity analysis tools. The research looked at the assumed aerodynamics and structures of two production UAV wings and attempted to optimise these wings in isolation to the rest of the vehicle. The project was sponsored by the Asian Office of the Air Force Office of Scientific Research under contract number AOARD-044078. The

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3

Lease, Basil Andy. "Weed/Plant Classification Using Evolutionary Optimised Ensemble Based On Local Binary Patterns." Thesis, Curtin University, 2022. http://hdl.handle.net/20.500.11937/88106.

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This thesis presents a novel pixel-level weed classification through rotation-invariant uniform local binary pattern (LBP) features for precision weed control. Based on two-level optimisation structure; First, Genetic Algorithm (GA) optimisation to select the best rotation-invariant uniform LBP configurations; Second, Covariance Matrix Adaptation Evolution Strategy (CMA-ES) in the Neural Network (NN) ensemble to select the best combinations of voting weights of the predicted outcome for each classifier. The model obtained 87.9% accuracy in CWFID public benchmark.

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4

Kaylani, Assem. "AN ADAPTIVE MULTIOBJECTIVE EVOLUTIONARY APPROACH TO OPTIMIZE ARTMAP NEURAL NETWORKS." Doctoral diss., University of Central Florida, 2008. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2538.

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This dissertation deals with the evolutionary optimization of ART neural network architectures. ART (adaptive resonance theory) was introduced by a Grossberg in 1976. In the last 20 years (1987-2007) a number of ART neural network architectures were introduced into the literature (Fuzzy ARTMAP (1992), Gaussian ARTMAP (1996 and 1997) and Ellipsoidal ARTMAP (2001)). In this dissertation, we focus on the evolutionary optimization of ART neural network architectures with the intent of optimizing the size and the generalization performance of the ART neural network. A number of researchers have foc

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5

Guan, C. "Evolutionary and swarm algorithm optimized density-based clustering and classification for data analytics." Thesis, University of Liverpool, 2017. http://livrepository.liverpool.ac.uk/3021212/.

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Clustering is one of the most widely used pattern recognition technologies for data analytics. Density-based clustering is a category of clustering methods which can find arbitrary shaped clusters. A well-known density-based clustering algorithm is Density- Based Spatial Clustering of Applications with Noise (DBSCAN). DBSCAN has three drawbacks: firstly, the parameters for DBSCAN are hard to set; secondly, the number of clusters cannot be controlled by the users; and thirdly, DBSCAN cannot directly be used as a classifier. With addressing the drawbacks of DBSCAN, a novel framework, Evolutionar

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6

White, William E. "Use of Empirically Optimized Perturbations for Separating and Characterizing Pyloric Neurons." Ohio University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1368055391.

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Fong, Kwong Fai. "Optimized design and energy management of heating, ventilating and air conditioning systems by evolutionary algorithm." Thesis, De Montfort University, 2006. http://hdl.handle.net/2086/5216.

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8

Lakshminarayanan, Srivathsan. "Nature Inspired Grey Wolf Optimizer Algorithm for Minimizing Operating Cost in Green Smart Home." University of Toledo / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1438102173.

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9

Ferreira, David. "Résistance au stress lors de la phase de latence en fermentation œnologique et développement de levures optimisées." Thesis, Montpellier, SupAgro, 2017. http://www.theses.fr/2017NSAM0051.

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Résumé : Saccharomyces cerevisiae, utilisée depuis des millénaires pour la fermentation du vin du fait de son endurance et de ses qualités inégalables, est de nos jours largement utilisée pour inoculer les mouts de raisin. Néanmoins, lors de l'inoculation, les souches oenologiques doivent faire face à des stress spécifiques qui peuvent compromettre le début de la fermentation. L’objectif de ce travail est d'élucider les bases métaboliques et moléculaires de la résistance multi-stress pendant la phase de latence en conditions oenologiques. Nous avons tout d'abord caractérisé un ensemble de levu

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10

Cheng, Yo-Hao, and 鄭又豪. "Application of Interactive Evolutionary Algorithms to Optimize Multimedia Mobile Advertising Problems." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/64245044542540829058.

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碩士<br>高苑科技大學<br>資訊科技應用研究所<br>101<br>Mobile marketing and advertising for specific consumer groups different time periods and regions associated effective advertising, is a new type of mobile ad can be customized mobile ad is targeted customer base would like to know the correctrelevant and valuable even be allowed in advance commercial information Main object of study for the promotional message of supermarkets in Taiwan mobile applications, mobile ads which many advertising messages, promotional messages for each grade produce the maximum effect is no way of knowing whether consumers to disc

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11

Lai, Kuan-Yu, and 賴貫郁. "A Multi-Objective Evolutionary Approach to Optimize Operating Room Scheduling Problems." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/79056640078768159434.

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碩士<br>中華大學<br>資訊工程學系碩士班<br>100<br>The operating room is one of the most expensive parts of hospital operating costs. The cost of operating room is closely related to the operating room scheduling operations. In this thesis, operating rooms, surgical teams and patient information are integrated and constructed into a mathematical optimization model. The objective of this model is to plan a week of operating room schedule list. Therefore, a multi-objective genetic algorithm (MOGA) is applied to automatically assign the patient and surgical team to the operating room. Our approach can optimize th

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12

Michener, Joshua Kieran. "Combining Rational and Evolutionary Approaches to Optimize Enzyme Activity in Saccharomyces cerevisiae." Thesis, 2012. https://thesis.library.caltech.edu/7017/5/Michener_2012_Thesis.pdf.

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Metabolic engineering has become an increasingly important tool for the production of bulk and fine chemicals. New biosynthetic pathways can be built in a tractable production host using enzymes from a wide variety of organisms. However, these enzymes did not evolve to function in their new host, and as a result their activity may be unacceptably low. Additionally, the host has not adapted to support this new pathway, and its response to any new stresses imposed by the pathway may further limit productivity. I describe two methods for optimizing the host-enzyme interface, using an evolutionary

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13

Fernandes, Gustavo Nuno Vieira. "COSMO - Using error to optimize the city." Master's thesis, 2013. http://hdl.handle.net/10316/35543.

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Dissertação de Mestrado em Engenharia Informática apresentada à Faculdade de Ciências e Tecnologia da Universidade de Coimbra<br>Cities across the world are ghting a losing battle against the increasingly large tides of private and public transports that daily roam urban road networks. In an e ort to tackle this problem, we present a thorough research of the current tra c management and routing algorithm paradigm, and compare the available tra c simulator options. We also elaborate a plan of action by establishing goals, tasks and milestones. We propose an evolutionary approach to generate a

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14

Chou, Yanchuan, and 周彥全. "Using Evolutionary Algorithms to Optimize Execution Time and Code Size in Iterative Compilation." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/45985658286655008582.

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碩士<br>國立中正大學<br>資訊工程研究所<br>100<br>Modern compilers usually provide a large number of optimization options to aid users to fine tune their programs for the best performance. However, applying such optimization options involves complex knowledge about compiler optimization, so most users do not have the capability to utilize these optimization options. Iterative Compilation is currently the most common approach to searching for the optimal set of optimization options for a program. There are several interesting performance metrics in compiler optimization: execution time, compilation time, code

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15

Wilk, Piotr. "The use of evolutionary algorithms and finite element method to optimize the machine body." Rozprawa doktorska, 2011. https://repolis.bg.polsl.pl/dlibra/docmetadata?showContent=true&id=8229.

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Wilk, Piotr. "The use of evolutionary algorithms and finite element method to optimize the machine body." Rozprawa doktorska, 2011. https://delibra.bg.polsl.pl/dlibra/docmetadata?showContent=true&id=8229.

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17

LI, WEN-HSIUNG, and 李文雄. "Application of Bi-directional Evolutionary Structural Optimization to Optimize Two-dimensional Forging Preform Design." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/88646194763808408862.

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碩士<br>國立高雄應用科技大學<br>機械與精密工程研究所<br>104<br>Preform is a step between blanking and final forming. The design and optimization of the preforming step would affect the material flow, forming load, dimension accuracy and tool wear. Thus, the investigations of design and optimization of the preforming step play an important role in the metal forming operation. Conventional topology optimization focused on the field of structure design, in which little deformation was involved. However, the metal forming belong to a large amount of plastic deformation, in which the mesh distortion occur in the simulat

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18

Torabikalaki, Roham. "Development of an Algorithm to Control and Optimize the Charging Process of Group of Electric Vehicles." Master's thesis, 2014. http://hdl.handle.net/10316/39030.

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Dissertação de Mestrado em Energia para a Sustentabilidade apresentada à Faculdade de Ciências e Tecnologia da Universidade de Coimbra<br>The increasing penetration of electric vehicles (EV) usage will require a control system to manage their recharging process. This work proposes the development of a locally decentralized EVs’ charging algorithm, which controls and optimizes the charging process of a group of EVs, based on a binary sequence. In this work the proposed method and the development of the charging algorithm are respectively explained. Then, by simulating various scenarios the

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