Artículos de revistas sobre el tema "Multi-Task Optimisation"
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Pearce, Michael y Juergen Branke. "Continuous multi-task Bayesian Optimisation with correlation". European Journal of Operational Research 270, n.º 3 (noviembre de 2018): 1074–85. http://dx.doi.org/10.1016/j.ejor.2018.03.017.
Texto completoLi, Feng, Lin Zhang, T. W. Liao y Yongkui Liu. "Multi-objective optimisation of multi-task scheduling in cloud manufacturing". International Journal of Production Research 57, n.º 12 (8 de noviembre de 2018): 3847–63. http://dx.doi.org/10.1080/00207543.2018.1538579.
Texto completoPanchu K., Padmanabhan, M. Rajmohan, R. Sundar y R. Baskaran. "Multi-objective Optimisation of Multi-robot Task Allocation with Precedence Constraints". Defence Science Journal 68, n.º 2 (13 de marzo de 2018): 175. http://dx.doi.org/10.14429/dsj.68.11187.
Texto completoBellotti, Renato, Romana Boiger y Andreas Adelmann. "Fast, Efficient and Flexible Particle Accelerator Optimisation Using Densely Connected and Invertible Neural Networks". Information 12, n.º 9 (28 de agosto de 2021): 351. http://dx.doi.org/10.3390/info12090351.
Texto completoCvetkovski, Goga y Lidija Petkovska. "Design Improvement of Permanent Magnet Motor Using Single- and Multi-Objective Approaches". Power Electronics and Drives 9, n.º 1 (1 de enero de 2024): 34–49. http://dx.doi.org/10.2478/pead-2024-0003.
Texto completoTrianni, Vito y Manuel López-Ibáñez. "Advantages of Task-Specific Multi-Objective Optimisation in Evolutionary Robotics". PLOS ONE 10, n.º 8 (21 de agosto de 2015): e0136406. http://dx.doi.org/10.1371/journal.pone.0136406.
Texto completoRamachandram, S. y Prashant Balkrishna Jawade. "Task scheduling in multi-cloud environment via improved optimisation theory". International Journal of Wireless and Mobile Computing 27, n.º 1 (2024): 64–77. http://dx.doi.org/10.1504/ijwmc.2024.10064647.
Texto completoJawade, Prashant Balkrishna y S. Ramachandram. "Task scheduling in multi-cloud environment via improved optimisation theory". International Journal of Wireless and Mobile Computing 27, n.º 1 (2024): 64–77. http://dx.doi.org/10.1504/ijwmc.2024.139671.
Texto completoLisowski, Józef. "Multi-Criteria Optimisation of Multi-Stage Positional Game of Vessels". Polish Maritime Research 27, n.º 1 (1 de marzo de 2020): 46–52. http://dx.doi.org/10.2478/pomr-2020-0005.
Texto completoGoddanti, N. S. S. L. Venkata Jwala, Pooja Ponakampalli, Shiny Sharon Neela, Reashma Sulthana Shaik y V. Suresh Chintalapudi. "An OptiAssign-PSO based optimisation for multi-objective multi-level multi-task scheduling in cloud computing environment". i-manager’s Journal on Cloud Computing 11, n.º 1 (2024): 1. http://dx.doi.org/10.26634/jcc.11.1.20484.
Texto completoFaroqi, Hamed y Mohammad saadi Mesgari. "Performance Comparison between the Multi-Colony and Multi-Pheromone ACO Algorithms for Solving the Multi-objective Routing Problem in a Public Transportation Network". Journal of Navigation 69, n.º 1 (25 de agosto de 2015): 197–210. http://dx.doi.org/10.1017/s0373463315000594.
Texto completoTrianni, Vito y Manuel López-Ibáñez. "Correction: Advantages of Task-Specific Multi-Objective Optimisation in Evolutionary Robotics". PLOS ONE 10, n.º 10 (2 de octubre de 2015): e0140056. http://dx.doi.org/10.1371/journal.pone.0140056.
Texto completoKandasamy, Kirthevasan, Gautam Dasarathy, Junier Oliva, Jeff Schneider y Barnabás Póczos. "Multi-fidelity Gaussian Process Bandit Optimisation". Journal of Artificial Intelligence Research 66 (15 de septiembre de 2019): 151–96. http://dx.doi.org/10.1613/jair.1.11288.
Texto completoRobinson, G. M. y A. J. Keane. "A case for multi-level optimisation in aeronautical design". Aeronautical Journal 103, n.º 1028 (octubre de 1999): 481–85. http://dx.doi.org/10.1017/s0001924000064435.
Texto completoDong, Xueshi, Wenyong Dong y Yongle Cai. "Ant colony optimisation for coloured travelling salesman problem by multi-task learning". IET Intelligent Transport Systems 12, n.º 8 (1 de octubre de 2018): 774–82. http://dx.doi.org/10.1049/iet-its.2016.0282.
Texto completoLiu, Weining, Bo Liu, Dihua Sun, Yiming Li y Gang Ma. "Study on multi-task oriented services composition and optimisation with the ‘Multi-Composition for Each Task’ pattern in cloud manufacturing systems". International Journal of Computer Integrated Manufacturing 26, n.º 8 (agosto de 2013): 786–805. http://dx.doi.org/10.1080/0951192x.2013.766939.
Texto completoSarathambekai, S. y K. Umamaheswari. "Task scheduling using multi-objective hamming discrete particle swarm optimisation in distributed systems". International Journal of Swarm Intelligence 2, n.º 2/3/4 (2016): 100. http://dx.doi.org/10.1504/ijsi.2016.081132.
Texto completoSarathambekai, S. y K. Umamaheswari. "Task scheduling using multi-objective hamming discrete particle swarm optimisation in distributed systems". International Journal of Swarm Intelligence 2, n.º 2/3/4 (2016): 100. http://dx.doi.org/10.1504/ijsi.2016.10002174.
Texto completoNagalakshmi, Bantupalli y Sumathy Subramanian. "An efficient multi-objective task scheduling in edge computing using adaptive honey badger optimisation". International Journal of Web Engineering and Technology 19, n.º 2 (2024): 110–26. http://dx.doi.org/10.1504/ijwet.2024.139866.
Texto completoKarczewski, Artur y Janusz Kozak. "A Generative Approach to Hull Design for a Small Watercraft". Polish Maritime Research 30, n.º 1 (1 de marzo de 2023): 4–12. http://dx.doi.org/10.2478/pomr-2023-0001.
Texto completoBonisoli, Elvio, Francesco Di Monaco, Stefano Tornincasa, Fabio Freschi, Luca Giaccone y Maurizio Repetto. "Multi-physics optimisation of an energy harvester device for automotive application". COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering 33, n.º 3 (29 de abril de 2014): 846–55. http://dx.doi.org/10.1108/compel-10-2012-0208.
Texto completoBenkhelifa, Elhadj, Ashutosh Tiwari y Mohamed Abdel-Maguid. "Advanced Design Optimisation by Means of Multiobjective Evolutionary Algorithms: The Case of Two Real World Applications". Key Engineering Materials 572 (septiembre de 2013): 589–92. http://dx.doi.org/10.4028/www.scientific.net/kem.572.589.
Texto completoChander, Satish, P. Vijaya y Praveen Dhyani. "ADOFL: Multi-Kernel-Based Adaptive Directive Operative Fractional Lion Optimisation Algorithm for Data Clustering". Journal of Intelligent Systems 27, n.º 3 (26 de julio de 2018): 317–29. http://dx.doi.org/10.1515/jisys-2016-0175.
Texto completoGuze, Sambor, Tomasz Neumann y Przemysław Wilczyński. "Multi-Criteria Optimisation of Liquid Cargo Transport According to Linguistic Approach to the Route Selection Task". Polish Maritime Research 24, s1 (25 de abril de 2017): 89–96. http://dx.doi.org/10.1515/pomr-2017-0026.
Texto completoLópez Ruiz, José L., Ángeles Verdejo Espinosa, Alicia Montoro Lendínez y Macarena Espinilla Estévez. "OBLEA: A New Methodology to Optimise Bluetooth Low Energy Anchors in Multi-occupancy Location Systems". JUCS - Journal of Universal Computer Science 29, n.º 6 (28 de junio de 2023): 627–46. http://dx.doi.org/10.3897/jucs.96878.
Texto completoMinaeva, Yu V. "ATHEMATICAL MODEL FOR THE OPTIMISATION OF HIERARCHICAL MULTI-LEVEL PRODUCTION SYSTEMS". Herald of Dagestan State Technical University. Technical Sciences 45, n.º 2 (17 de diciembre de 2018): 140–48. http://dx.doi.org/10.21822/2073-6185-2018-45-2-140-148.
Texto completoZhang, Qinglei, Ning Li, Jianguo Duan, Jiyun Qin y Ying Zhou. "Resource Scheduling Optimisation Study Considering Both Supply and Demand Sides of Services under Cloud Manufacturing". Systems 12, n.º 4 (15 de abril de 2024): 133. http://dx.doi.org/10.3390/systems12040133.
Texto completoBawane, Madhuri N. y K. M. Bhurchandi. "Multi-objective particle swarm optimisation for mental task classification using hybrid features and hierarchical neural network classifier". International Journal of Biomedical Engineering and Technology 32, n.º 2 (2020): 177. http://dx.doi.org/10.1504/ijbet.2020.10027366.
Texto completoBawane, Madhuri N. y K. M. Bhurchandi. "Multi-objective particle swarm optimisation for mental task classification using hybrid features and hierarchical neural network classifier". International Journal of Biomedical Engineering and Technology 32, n.º 2 (2020): 177. http://dx.doi.org/10.1504/ijbet.2020.105653.
Texto completoAlbowarab, Mustafa Hasan, Nurul Azma Zakaria y Zaheera Zainal Abidin. "Directionally-Enhanced Binary Multi-Objective Particle Swarm Optimisation for Load Balancing in Software Defined Networks". Sensors 21, n.º 10 (12 de mayo de 2021): 3356. http://dx.doi.org/10.3390/s21103356.
Texto completoDharani Pragada, Venkata Aditya, Akanistha Banerjee y Srinivasan Venkataraman. "OPTIMISATION OF NAVAL SHIP COMPARTMENT LAYOUT DESIGN USING GENETIC ALGORITHM". Proceedings of the Design Society 1 (27 de julio de 2021): 2339–48. http://dx.doi.org/10.1017/pds.2021.495.
Texto completoAgyemang, Brighter, Fenghui Ren y Jun Yan. "Proactive Agent Behaviour in Dynamic Distributed Constraint Optimisation Problems". Information 15, n.º 5 (2 de mayo de 2024): 255. http://dx.doi.org/10.3390/info15050255.
Texto completoHameed, Khurram, Douglas Chai y Alexander Rassau. "A Sample Weight and AdaBoost CNN-Based Coarse to Fine Classification of Fruit and Vegetables at a Supermarket Self-Checkout". Applied Sciences 10, n.º 23 (3 de diciembre de 2020): 8667. http://dx.doi.org/10.3390/app10238667.
Texto completoElsedimy, Elsayed y Fahad Algarni. "MOTS‐ACO: An improved ant colony optimiser for multi‐objective task scheduling optimisation problem in cloud data centres". IET Networks 11, n.º 2 (8 de febrero de 2022): 43–57. http://dx.doi.org/10.1049/ntw2.12033.
Texto completoSaravana Balaji, B., Gomathi B y Karthikeyan Krishnasamy. "Epsilon-Fuzzy Dominance Sort Based Composite Discrete Artificial Bee Colony optimisation for Multi-Objective Cloud Task Scheduling Problem". International Journal of Business Intelligence and Data Mining 12, n.º 3/4 (2017): 1. http://dx.doi.org/10.1504/ijbidm.2017.10004803.
Texto completoGomathi, B., Karthikeyan Krishnasamy y B. Saravana Balaji. "Epsilon-fuzzy dominance sort-based composite discrete artificial bee colony optimisation for multi-objective cloud task scheduling problem". International Journal of Business Intelligence and Data Mining 13, n.º 1/2/3 (2018): 247. http://dx.doi.org/10.1504/ijbidm.2018.088435.
Texto completoVeneri, Giacomo, Francesca Rosini, Pamela Federighi, Antonio Federico y Alessandra Rufa. "Evaluating gaze control on a multi-target sequencing task: The distribution of fixations is evidence of exploration optimisation". Computers in Biology and Medicine 42, n.º 2 (febrero de 2012): 235–44. http://dx.doi.org/10.1016/j.compbiomed.2011.11.013.
Texto completoLomazzi, L., F. Cadini, M. Giglio, C. Cancro, G. Ciniglio, G. Graditi y A. Pontecorvo. "Integrated multi-objective optimisation of the support structure of heliostats in concentrated solar power plants using a genetic algorithm". IOP Conference Series: Materials Science and Engineering 1214, n.º 1 (1 de enero de 2022): 012027. http://dx.doi.org/10.1088/1757-899x/1214/1/012027.
Texto completoSUN, YUEXIN y YU CHEN. "Fast textile pattern generation combining MRF-based and Gram-based methods". Industria Textila 74, n.º 04 (30 de agosto de 2023): 439–45. http://dx.doi.org/10.35530/it.074.04.202254.
Texto completoGarus, Jerzy y Bogdan Żak. "The practical aspects of implementation of the thrust allocation procedure for a multi-propulsor underwater robot". Polish Hyperbaric Research 65, n.º 4 (1 de diciembre de 2018): 39–48. http://dx.doi.org/10.2478/phr-2018-0022.
Texto completoAndreu Casas, Enric, ALBERTO GARCIA VILLORIA y RAFAEL PASTOR MORENO. "SOLVING THE MULTI-MANNED ASSEMBLY LINE BALANCING PROBLEM WITH DEPENDENT TASK TIMES BY MEANS OF EMPIRICALLY ADJUSTED GREEDY HEURISTICS (EAGH)". DYNA MANAGEMENT 11, n.º 1 (1 de septiembre de 2023): [9P.]. http://dx.doi.org/10.6036/mn10905.
Texto completoCheng Seong, Khor. "A Model-Based Optimisation Approach for Process Synthesis of Olefins from Petroleum with Application to the Malaysian Petrochemical Industry". ASM Science Journal 12 (30 de diciembre de 2019): 1–15. http://dx.doi.org/10.32802/asmscj.2019.393.
Texto completoNurhafizah Anual, Siti, Mohd Faisal Ibrahim, Nurhana Ibrahim, Aini Hussain, Mohd Marzuki Mustafa, Aqilah Baseri Huddin y Fazida Hanim Hashim. "GA-based Optimisation of a LiDAR Feedback Autonomous Mobile Robot Navigation System". Bulletin of Electrical Engineering and Informatics 7, n.º 3 (1 de septiembre de 2018): 433–41. http://dx.doi.org/10.11591/eei.v7i3.1275.
Texto completoDoll, U., I. Röhle y M. Dues. "Unsteady Multi-Parameter Flow Diagnostics By Filtered Rayleigh Scattering: System Design By Multi-Objective Optimisation". Proceedings of the International Symposium on the Application of Laser and Imaging Techniques to Fluid Mechanics 20 (11 de julio de 2022): 1–18. http://dx.doi.org/10.55037/lxlaser.20th.23.
Texto completoSmith, Dale, Robbie Glachan, Scott Tranter y Robert Potter. "Optimisation of System Configuration Using Machine Learning as a Surrogate Model". INTER-NOISE and NOISE-CON Congress and Conference Proceedings 268, n.º 6 (30 de noviembre de 2023): 2096–107. http://dx.doi.org/10.3397/in_2023_0308.
Texto completoCubukcuoglu, Cemre, Arzu Cilasun Kunduraci y Sahar Asadollahi Asl Zarkhah. "Indoor Environmental Quality Optimisation Model for Institutional Care Rooms of Elderly People". Buildings 13, n.º 10 (18 de octubre de 2023): 2625. http://dx.doi.org/10.3390/buildings13102625.
Texto completoJusop, Masitah y Mohd Fadzil Faisae Ab Rashid. "Optimisation of Assembly Line Balancing Type-E with Resource Constraints Using NSGA-II". Key Engineering Materials 701 (julio de 2016): 195–99. http://dx.doi.org/10.4028/www.scientific.net/kem.701.195.
Texto completoWang, Qi, Dragan A. Savić y Zoran Kapelan. "Hybrid metaheuristics for multi-objective design of water distribution systems". Journal of Hydroinformatics 16, n.º 1 (24 de julio de 2013): 165–77. http://dx.doi.org/10.2166/hydro.2013.009.
Texto completoAbdulrauf Sharifai, Garba y Zurinahni Zainol. "Feature Selection for High-Dimensional and Imbalanced Biomedical Data Based on Robust Correlation Based Redundancy and Binary Grasshopper Optimization Algorithm". Genes 11, n.º 7 (27 de junio de 2020): 717. http://dx.doi.org/10.3390/genes11070717.
Texto completoDroandi, G. y G. Gibertini. "Aerodynamic shape optimisation of a proprotor and its validation by means of CFD and experiments". Aeronautical Journal 119, n.º 1220 (octubre de 2015): 1223–51. http://dx.doi.org/10.1017/s0001924000011222.
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