A New Hybrid Reference Vector and Grid-Based Evolutionary Algorithm for Dynamic Many-Objective Optimization

Dynamic many-objective optimization problems (DMaOPs) are a class of problems involving more than three objectives. Their objective functions, search space, or constraints may change over time. Dynamic many-objective evolutionary algorithms (DMaOEAs) are typically used to solve DMaOPs and primarily...

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Bibliografische Detailangaben

Hauptverfasser:	Adamo Henrique Rocha De Oliveira, Gideon Villar Leandro
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2025-01-01
Schriftenreihe:	IEEE Access
Schlagworte:	Dynamic angle-penalized distance dynamic many-objective problems grid-based reference vector
Online-Zugang:	https://ieeexplore.ieee.org/document/11299853/
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