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- W2056793468 abstract "Cooperative coevolution has been shown to be useful in evolutionary multiobjective optimization for biobjective problems. However, this approach has yet to be investigated for multi-objective problems with higher dimensionality. In this paper, our objective is to conduct comprehensive empirical tests for cooperative coevolution using an evolutionary multiobjective algorithm for 3- dimensional problems. A new algorithm which integrates Cooperative Coevolutionary (CC) and the Strength Pareto Evolutionary Algorithm 2 (SPEA2) is proposed to achieve this objective. The resulting algorithm is referred to as the Strength Pareto Evolutionary Algorithm 2 with Cooperative Coevolution (SPEA2-CC). The performance between SPEA2- CC is compared against SPEA2 in solving tri-objectives problems in DTLZ suite of test problems. The results showed that SPEA2-CC clearly outperforms SPEA2, further proving the validity and effectiveness of augmenting evolutionary multi-objective algorithms with the cooperative coevolution approach." @default.
- W2056793468 created "2016-06-24" @default.
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- W2056793468 date "2007-10-01" @default.
- W2056793468 modified "2023-10-14" @default.
- W2056793468 title "Cooperative coevolution for pareto multiobjective optimization: An empirical study using SPEA2" @default.
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- W2056793468 doi "https://doi.org/10.1109/tencon.2007.4429134" @default.
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