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- W2522382239 abstract "In this paper, a new QPSO based on double δ-potential wells model (QPSO-DPW) is proposed. The algorithm contains three components: the global best position, the particle position relative to the mean individual best positions, and the particle position relative to global best position. This strategy restrains the particle premature convergence and fall into local convergence. Several classical nonlinear functions are employed to test the effectiveness of QPSO-DPW. The results demonstrate good performance in convergence speed and the global searching ability when compared with other recent variants of the PSO." @default.
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- W2522382239 date "2016-01-01" @default.
- W2522382239 modified "2023-09-27" @default.
- W2522382239 title "A New Quantum-Behaved PSO: Based on Double δ-Potential Wells Model" @default.
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- W2522382239 doi "https://doi.org/10.1007/978-981-10-2338-5_21" @default.
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