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• W2161497816 abstract "This paper introduces a novel scheme of improving the performance of particle swarm optimization (PSO) by a vector differential operator borrowed from differential evolution (DE). Performance comparisons of the proposed method are provided against (a) the original DE, (b) the canonical PSO, and (c) three recent, high-performance PSO-variants. The new algorithm is shown to be statistically significantly better on a seven-function test suite for the following performance measures: solution quality, time to find the solution, frequency of finding the solution, and scalability." @default.
• W2161497816 created "2016-06-24" @default.
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• W2161497816 date "2005-01-01" @default.
• W2161497816 modified "2023-10-16" @default.
• W2161497816 title "Improving particle swarm optimization with differentially perturbed velocity" @default.
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• W2161497816 doi "https://doi.org/10.1145/1068009.1068037" @default.
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