A Many-Objective Evolutionary Algorithm with Local Shifted Density Estimation Based on Dynamic Decomposition

Pareto dominance-based many-objective evolutionary algorithms (PDMaOEAs) are challenging in dealing with many-objective problems (MaOPs) encountering many incomparable nondominated solutions. Recently, convergence-related metrics have been incorporated into PDMaOEAs to enhance the selection pressure...

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Hlavní autoři:	Li-sen Wei, Er-chao Li
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Springer 2023-09-01
Edice:	Journal of King Saud University: Computer and Information Sciences
Témata:	Many objective optimization problems Local shifted density estimation Dynamic decomposition
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S1319157823002471
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