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- W2511700582 abstract "This paper proposes a Multi-Objective Particle Swarm Optimization (MOPSO) with particle density. In the proposed method, density of particles around every Pareto solution is calculated and a Pareto solution with low particle density is selected as gbest which is a best position visited thus far by all of the particles. Then, it is validated through a simulation with some Multi-Objective problems comparing to the sigma method which is the conventional to select gbest." @default.
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- W2511700582 date "2010-01-01" @default.
- W2511700582 modified "2023-09-24" @default.
- W2511700582 title "Multi-Objective Particle Swarm Optimization Based on Particle Density" @default.
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- W2511700582 doi "https://doi.org/10.1541/ieejeiss.130.1207" @default.
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