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On Multi-Objective Evolutionary Algorithms
2010In this chapter Multi-Objective Evolutionary Algorithms (MOEAs) are introduced and some details discussed. It starts by giving a presentation of some of the concepts in which this type of algorithms are based on, in order to address the multi-objective nature of the real-world problems. Then, a summary of the main algorithms behind these approaches and
Fontes, Dalila B. M. M. +1 more
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Multi-Objective Factored Evolutionary Optimization and the Multi-Objective Knapsack Problem
2022 IEEE Congress on Evolutionary Computation (CEC), 2022Amy Peerlinck, John Sheppard 0001
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Multi-Objective chimp Optimizer: An innovative algorithm for Multi-Objective problems
Expert Systems with Applications, 2023Mohammad Khishe +2 more
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Artificial Intelligence
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Feiyang Ye 0001 +4 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Feiyang Ye 0001 +4 more
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Multi-objective counterfactual fairness
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2022Susanne Dandl +2 more
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Multi-enzyme activity nanozymes for biosensing and disease treatment
Coordination Chemistry Reviews, 2022Zhongjian Xie, Karim Khan, Defa Li
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Multi-chamber cardioids unravel human heart development and cardiac defects
Cell, 2023Maria Novatchkova, Sasha Mendjan
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Evolutionary Dynamic Multi-objective Optimisation: A Survey
ACM Computing Surveys, 2023Shouyong Jiang +2 more
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Indicator-based Multi-objective Evolutionary Algorithms
ACM Computing Surveys, 2021Jesus Guillermo Falcón-Cardona +1 more
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Evolutionary Large-Scale Multi-Objective Optimization: A Survey
ACM Computing Surveys, 2022Ye Tian, Langchun Si, Xingyi Zhang
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