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- W1968696571 abstract "A more efficient pre-initializing strategy of PSO algorithm: Multi-Period Particle Swarm Optimization (MP-PSO) is proposed. The process is divided into two periods: pre-initialization and post-optimization. The former is determined to find a better local solution to initialize the next period instead of standard uniform randomness. In order to explore further, adaptive escaping weight is adopted to avoid premature convergence during post-optimization. The results of benchmark test show that performance of MP-PSO is much more effective than that of standard PSO, especially in higher dimensional problems." @default.
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- W1968696571 date "2014-06-01" @default.
- W1968696571 modified "2023-09-27" @default.
- W1968696571 title "A New Pre-initializing Strategy: Multi-Period Particle Swarm Optimization" @default.
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- W1968696571 doi "https://doi.org/10.1109/isdea.2014.18" @default.
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