The algorithm discards the particle velocity and tracks the state of particle swarm by observing the overall changes in the fitness of all particles in the swarm.
该算法舍弃了粒子速度这个参数,并通过粒子群中所有粒子适应度的整体变化跟踪粒子群的状态。
Aiming at the stagnation exists in the cooperative particle swarm optimization, presents a new kind of the cooperative particle swarm optimization algorithm based on particles spatial extension.
针对协同微粒群优化存在的停滞现象,提出了一种新的基于粒子空间扩展的协同微粒群优化算法。
During the running time, the particles are updated through the combination form of chaos update and particle swarm update so that the global convergence could balance against local convergence.
在算法运行过程中,对粒子的位置进行混沌更新和粒子群更新相结合的更新方式,使全局收敛与局部收敛达到一定平衡。
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