期刊
INFORMATION SCIENCES
卷 156, 期 3-4, 页码 215-251出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/S0020-0255(03)00177-4
关键词
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A parameter-less adaptive penalty scheme for genetic algorithms applied to constrained optimization problems is proposed. The performance of this new scheme is examined using test problems from the evolutionary computation literature as well as structural engineering constrained optimization problems. (C) 2003 Elsevier Inc. All rights reserved.
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