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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Bibliographic Details

Published in:	IEEE Symposium on Computational Intelligence in Multi-Criteria Decision Making pp. 933 - 940
Main Authors:	Zhang, Jinyuan, Ishibuchi, Hisao, He, Linjun, Nan, Yang
Format:	Conference Proceeding
Language:	English
Published:	IEEE 05.12.2023
Subjects:	Bridges Classification algorithms Computational modeling Evolutionary computation Hypercubes initialization Measurement Multiobjective evolutionary algorithms Optimization surrogate models
ISSN:	2472-8322
Online Access:	Get full text
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