期刊
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
卷 23, 期 3, 页码 204-213出版社
SPRINGER-VERLAG
DOI: 10.1007/s00158-002-0178-2
关键词
genetic algorithms; multiple objectives; constraint handling
Four constraint handling improvements for Multi-Objective Genetic Algorithms (MOGA) are proposed. These improvements are made in the fitness assignment stage of a MOGA and are all based upon a Constraint-First-Objective-Next model. Two multi-objective design optimization examples, i.e. a speed reducer design and the design of a fleet of ships, are used to demonstrate the improvements. For both examples, it is shown that the proposed constraint handling techniques significantly improve the performance of a baseline MOGA.
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