A constraint multi-objective artificial physics optimization algorithm
Published • Sep 1, 2010
NobleIDNI7P45W52R02S00
Authors:,
Yan Wang
Jianchao Zeng
Abstract
The use of evolutionary algorithms to solve unconstraint multi-objective problems (MOPs) has attracted much attention recently. However, research on constraint multi-objective algorithms is relatively less. The authors introduce a novel evolutionary paradigm of artificial physics optimization (APO) ...
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