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- 粒子群算法（PSO算法）PSO
- 為改善粒子群優(yōu)化算法的搜索性能,提出一種飛行時(shí)間自適應調整的粒子群算法(FAA-PSO)。To improve the searching performance of Particle Swarm Optimization (PSO), a modified PSO algorithm with flying time adaptively adjusted was proposed and named FAA-PSO algorithm.
- 為了改善粒子群優(yōu)化(PSO)算法的搜索性能,提出一種改進(jìn)的粒子群算法CSV PSO算法·該算法在粒子群進(jìn)化的過(guò)程中根據粒子群的最佳適應值動(dòng)態(tài)地壓縮粒子群的搜索空間與粒子群飛行速度范圍;To improve further the performance of PSO(Particle Swarm Optimization), a modified PSO algorithm is proposed and called CSV-PSO algorithm. Based on the best fitness of the particles, the ranges of both search space and velocity of the particles are contracted dynamically with the evolution of particle swarm in CSV-PSO algorithm.
- 基于改進(jìn)粒子群算法求解單級多資源約束生產(chǎn)批量計劃問(wèn)題Improved Particle Swarm Optimization Algorithm for the Single Level Capacitated Dynamic Lot-sizing Problem
- PSO粒子群算法Particle Swarm Optimization (Pso) algorithm
- 粒子群算法particle swarm optimization
- 二元粒子群算法binary Particle Swarm Optimization(PSO)
- 粒子群優(yōu)化算法(Particle Swarm Optimization，PSO算法)源于鳥(niǎo)群和魚(yú)群群體運動(dòng)行為的研究，是一種新的群體智能優(yōu)化算法，是演化計算領(lǐng)域中的一個(gè)新的分支。Particle swarm optimization (PSO) is an evolutionary computation technique developed by Dr. Eberhart and Dr. Kennedy in 1995, inspired by social behavior of bird flocking or fish schooling.
- 混沌粒子群算法chaotic particle swarm optimization
- 量子粒子群算法QPSO
- 粒子群優(yōu)化算法(Particle Swarm Optimization，PSO算法)源于鳥(niǎo)群和魚(yú)群群體運動(dòng)行為的研究，是一種基于群智能方法的演化計算技術(shù)，是演化計算領(lǐng)域中的一個(gè)新的分支。Particle Swarm Optimization roots in research on colony movement of bird and fish. It is a kind of evolutive calculational methods based on group brainpower.
- 離散粒子群算法discrete particle swarm optimization
- 改進(jìn)粒子群算法IPSO
- 灰色粒子群算法grey particle swarm algorithm
- 混合粒子群算法hybrid particle swarm optimization algorithm
- 并行粒子群算法parallel particle swarm optimization
- 免疫粒子群算法immune particle swarm optimization algorithm
- 動(dòng)能粒子群算法kinetic energy particle swarm optimization
- 文化粒子群算法CBPSO
- 粒子群算法優(yōu)化particle swarm optimization
