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An adaptive multi-objective differential evolution algorithm based on evolutionary process information

Published in 2017 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC) • Dec 1, 2017
NobleIDNI6P15W31R54S98
Authors:
Ying Hou
,
Cuili Yang
,
Junfei Qiao

Abstract

In this paper, an adaptive multi-objective differential evolution algorithm based on evolutionary process information, named AMODE-EPI, is proposed to improve the searching performance. In AMODE-EPI, the process information is used to describe the schedule of evolution. Meanwhile, the parameters, in...

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