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• W1998285557 abstract "In this paper, we present an improved comprehensive learning particle swarm optimiser (CLPSO) by using a generalised opposition-based learning concept (GOBL). The proposed approach, called GOCLPSO, employs similar schemes of opposition-based differential evolution (ODE) for opposition-based population initialisation and generation jumping with GOBL. Experimental studies on 13 benchmark functions show that GOCLPSO could achieve more accurate solutions than CLPSO for the majority of test cases." @default.
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• W1998285557 date "2011-01-01" @default.
• W1998285557 modified "2023-10-16" @default.
• W1998285557 title "Improving comprehensive learning particle swarm optimiser using generalised opposition-based learning" @default.
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• W1998285557 doi "https://doi.org/10.1504/ijmic.2011.043155" @default.
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