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- W607652890 abstract "This paper presents an enhanced Particle Swarm Optimizer approach, which is designed to solve numerical unconstrained optimization problems. The approach incorporates a dual population in an attempt to overcome the problem of premature convergence to local optima. The proposed algorithm is validated using standard test functions (unimodal, multi-modal, separable and nonseparable) taken from the specialized literature. The results are compared with values obtained by an algorithm representative of the state-of-the-art in the area. Our preliminary results indicate that our proposed approach is a competitive alternative to solve global optimization problems." @default.
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- W607652890 date "2007-01-01" @default.
- W607652890 modified "2023-09-26" @default.
- W607652890 title "Global numerical optimization with a bi-population particle swarm optimizer" @default.
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