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Large-scale optimisation via cooperatively coevolving competition swarm optimiser
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DOI：10.1080/17517575.2019.1681518.png)
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摘要
En 中文
This paper presents a two-stage approach, named Cooperatively Coevolving Competition Swarm Optimiser ((CSO)-S-3), for large-scale optimisation. (CSO)-S-3 first detects interactions among the original variables by a differential grouping algorithm, therein decomposing a large-scale problem into several sub-components. In the next stage, a new approach is developed using the competition mechanism to independently optimise each sub-component obtained in the first stage. Hence, (CSO)-S-3 takes advantages of both divide-and-conquer and competition strategies, achieving the ability to address large-scale and complex optimisation problems. The proposed method is evaluated by comparing with several state-of-the-art algorithms on different benchmark functions, and the comparative results demonstrated its effectiveness.
Keyword:
Large-scale optimisation optimiser
cooperative co-evolution
competition
swarm intelligence
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3.9
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2.8K
被引数:
1.8K
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