粒子群最適化
1. Particle swarm optimizationIn computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. PSO optimizes a problem by having a population of candidate solutions, here dubbed particles, and moving these particles around in the search-space according to simple mathematical formulae over the particle's position and velocity.
Read “Particle swarm optimization” on English Wikipedia
Read “粒子群最適化” on Japanese Wikipedia
Read “Particle swarm optimization” on DBpedia
Read “Particle swarm optimization” on English Wikipedia
Read “粒子群最適化” on Japanese Wikipedia
Read “Particle swarm optimization” on DBpedia
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