Step 1: At the current position, calculate the mean distance of each particle i to all the other particles. (在当前位置,计算每个粒子 i 到其他所有粒子的平均距离) 平均距离可以用欧几里德公式来测量 Step 2: Denote diof the globally best particle as dg. Compare all di’s, and determine the ...
easy to trap into the local minimum and diversity losing in traditional particle swarm optimization algorithm, a newly adaptive PSO algorithm based on dynamic link matrix was proposed, which build the neighborhoods though link matrix and divide them into the sub-swarm based on feature clustering. Th...
swarmoptimization(APSO)algorithm 自激脉冲喷嘴结构参数的优化问题一直是国 内外研究的热点问题。Geveci等研究了射流产 生最优脉动的振荡腔几何尺寸问题 。杨林等分 析了振荡射流喷嘴结构参数对喷嘴固有频率特性 收稿日期:2011-09—15. 基金项目:国家火炬计划基金项目(07C26213711606);陕西省重点学科建设专项基金项目(102...
The algorithm is quite effective, but a number of variations have been proposed to improve its performance. In this paper, a new adaptive fractional-order (FO) genetic-particle swarm optimization (FOGPSO) version is proposed. The FOGPSO associates the particle selection operations of a genetic ...
The poor computation ability and limited storage of power of the nodes of wireless sensor network(WSN) have seriously restricted the development of WSN. Based on the cloud adaptive particle swarm optimization(CAPSO) algorithm, an optimal approach for WSN
Particle swarm complexitySingle particle complexityThe optimization of water supply pipe networks based on traditional particle swarm algorithm is easy to trap into local optimum and slow to converge the optimum. In this paper, an adaptive particle......
The convergence of particle swarm optimization(PSO) algorithm is analyzed.Its premature convergence is due to the decrease of the velocity of particles in search space.An adaptive PSO algorithm with dynamical changing inertia weight based on population velocity is proposed.The information defined as the...
(ESE) approach in details and develops the ESE enabled adaptive particle swarm optimization (APSO) through an adaptive control of PSO parameters and an adaptive elitist learning strategy (ELS). Section 4 compares this APSOalgorithm against some various existing PSO algorithms using a number of test...
1. Fuzzy control strategy for temperature in the tunnel kiln based on the adaptive particle swarm optimization algorithms; 基于自适应粒子群算法的隧道窑温度模糊控制策略2. The coupling feedback analysis model(APSO-BP) was proposed based on the adaptive particle swarm optimization algorithm and the ...
Particle swarm optimization(PSO) is widely used in reactive power optimization of rural power grids. However, it has disadvantages, for example it is easy to fall into local minima. The particle update modes and the inertia weight in the algorithm are the key factors that affect the search abi...