Particle Swarm Optimization as a Swarm Intelligence algorithm, has strong global search capability, can be used for training neural network to overcome the defect of BP algorithm.
然而在粒子群优化算法中，早熟现象时有发生，从而制约了算法的性能。
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。
On the basis of analyzing the particle swarm optimization and introducing the idea of sub-swarms, a particle swarm optimization algorithm with dynamic sub-swarms (DPSO) is proposed.
在分析基本微粒群优化算法的基础上，引进分群思想，提出了一种动态分群的微粒群优化算法(DPSO)。
A new algorithm of swarm intelligence, Particle swarm Optimization (PSO), which is an algorithm of simple implementation and fast convergence with few parameters, is introduced in this paper.
介绍了一种新的集群智能算法-微粒群算法(PSO)，该算法具有实现简单、参数少且收敛快的特点。
They entered the ships and the prince was reaching his own, when God sent a swarm of gnats—one swarm of tiny gnats.
他们爬上这些船，王子也走进他的那条船，这时上帝送来一群蚊蚋——只是一小群蚊蚋。
Illumined by phenomenon of co-evolution in nature, particle swarm optimization is combined with co-evolution, a multi-particle swarm co-evolution algorithm is presented.
受自然界共生现象的启发，将微粒群算法和协同进化相结合，提出了一种多微粒群协同进化算法。
As a swarm intelligence algorithm, particle swarm optimization (PSO) algorithm has provided a new way to find the solution of complex problems.
粒子群优化算法(PSO)作为一种群体智能算法，它为复杂优化问题的解决提供了一种新的思路。
Because of this, a particle swarm optimization algorithm with the strategy of nonlinear decreasing inertia weight is proposed based on the standard particle swarm algorithm.
结果提出一种非线性递减惯性权重策略的粒子群优化算法。
Based on the swarm intelligence, Particle swarm optimization (PSO) algorithm is a kind of modern optimization method inspired by the research of the artificial life.
粒子群算法是基于群集智能、受到人工生命研究结果的启发而提出的一种现代优化方法。
They entered the ships and the prince was approaching his own, when God sent a swarm of gnats-one swarm of little gnats.
他们进入的船只和王子正在接近自己的，当神蚊蚋发出了一小群群蚊蚋。
In this paper, consulted a lot of literature about particle swarm optimization algorithm, and did research and analysis on the standard particle swarm optimization.
本文在阅读了大量有关粒子群算法的文献的基础上，对标准的粒子群算法研究和分析。
In this paper, consulted a lot of literature about particle swarm optimization algorithm, and did research and analysis on the standard particle swarm optimization.
本文在阅读了大量有关粒子群算法的文献的基础上，对标准的粒子群算法研究和分析。
应用推荐