particle-swarm

基本解釋

A rolling load distribution optimization algorithm of tandem cold mill was designed using particle swarm optimization algorithm.
摘要利用粒子群算法設(shè)計(jì)了一種冷連軋軋制負(fù)荷分配的優(yōu)化方法。
In this paper, we try to apply Binary System Particle Swarm Optimization (BSPSO) with death Penalty function to solve 0/1 knapsack problem.
摘要將帶有死亡罸函數(shù)的二進(jìn)制粒子群優(yōu)化算法應(yīng)用於0/1背包問(wèn)題。
A method to evaluate spatial straightness errors adopting particle swarm optimization (PSO) is proposed.
摘要提出了一種滿(mǎn)足最小區(qū)域法的空間直線(xiàn)度誤差評(píng)價(jià)的新方法一粒子群算法。
Particle swarm algorithm was an optimized algorithm based on swarm intelligence.
摘要粒子群算法是一類(lèi)基於群智能的隨機(jī)優(yōu)化算法。
The particle swarm optimization(PSO) algorithm is an evolutional algorithm and comprises a very simple concept.
微粒群優(yōu)化(PSO)算法是一種進(jìn)化算法,包含的概唸簡(jiǎn)單。