Proceedings of the Annual Conference of JSAI
Online ISSN : 2758-7347
32nd (2018)
Session ID : 3Pin1-02
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Benchmark Functions for Cooperative Coevolution and Analysis of Influence by Dynamic Problem Decomposition
*Yuki NAKASHIMA, Jun-ichi MATSUOKA, Asuka HISATOMI, Satoshi ONO
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Abstract

This paper proposes benchmark functions for cooperative coevolution (CC), which dynamically divides a target problem into smaller subproblems and solves in parallel.The proposed benchmark functions allow adjusting dependency strength between variables by changing the number of linkages and linkage types.Experimental results showed the in uence of dynamic decomposition change frequency to CC's optimization performance.

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© 2018 The Japanese Society for Artificial Intelligence
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