Effects of Initialization Methods on the Performance of Surrogate-Based Multiobjective Evolutionary Algorithms

Initialization plays a crucial role in surrogate-based multiobjective evolutionary algorithms (MOEAs) when tackling computationally expensive multiobjective optimization problems. During the initialization process, solutions are generated to train surrogate models. Consequently, the accuracy of thes...

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Veröffentlicht in:	IEEE Symposium on Computational Intelligence in Multi-Criteria Decision Making S. 933 - 940
Hauptverfasser:	Zhang, Jinyuan, Ishibuchi, Hisao, He, Linjun, Nan, Yang
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 05.12.2023
Schlagworte:	Bridges Classification algorithms Computational modeling Evolutionary computation Hypercubes initialization Measurement Multiobjective evolutionary algorithms Optimization surrogate models
ISSN:	2472-8322
Online-Zugang:	Volltext
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