Local-Diversity Evaluation Assignment Strategy for Decomposition-Based Multiobjective Evolutionary Algorithm

Decomposition-based multiobjective evolutionary algorithms (MOEAs) transform a multiobjective optimization problem (MOP) into a set of subproblems and then optimize them collaboratively. When two adjacent objective vectors are similar but the difference in the corresponding decision vectors is large...

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Veröffentlicht in:	IEEE transactions on systems, man, and cybernetics. Systems man, and cybernetics. Systems, 2023-03, Vol.53 (3), p.1697-1709
Hauptverfasser:	Yang, Shuling, Huang, Han, Luo, Fan, Xu, Yang, Hao, Zhifeng
Format:	Artikel
Sprache:	eng
Schlagworte:	Decomposition Decomposition-based multiobjective evolutionary algorithms (MOEAs) Density measurement discrete multiobjective optimization problems (MOPs) Dynamic scheduling Evaluation Evolutionary algorithms Genetic algorithms local-density measurement local-diversity evaluation assignment (LdEA) Multiple objective analysis Optimization Resource management Sociology State-of-the-art reviews Statistics Stochastic processes Transforms
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