Multi-group particle swarm optimization with random redistribution

机译：具有随机重新分布的多组粒子群优化

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摘要

Particle Swarm Optimization (PSO) is fast and popular algorithm to find the optimum value of non-linear and multi-dimensional function. However, it often easily trapped into local optima because the particles move closer to the best particle quickly. This paper purposes a new algorithm called Multi-Group Particle Swarm Optimization with Random Redistribution (MGRR-PSO) that tried to solve the weakness of standard PSO. MGRR-PSO combines two groups of PSO with opposite acceleration coefficients. In addition, some particles are redistributed when they are trapped in local optima. Experimental studies on 5 benchmark functions with 50-dimensions and 100-dimensions show that the MGRR-PSO can solve the problems that can't be solved by original PSO with better performance.

机译：粒子群优化（PSO）是一种快速且流行的算法，用于找到非线性和多维函数的最优值。但是，由于粒子会迅速移近最佳粒子，因此通常容易陷入局部最优状态。本文提出了一种新的算法，即带有随机重新分布的多组粒子群优化算法（MGRR-PSO），该算法试图解决标准PSO的弱点。 MGRR-PSO结合了两组具有相反加速度系数的PSO。此外，某些粒子陷入局部最优状态后会重新分布。对50维和100维的5个基准函数的实验研究表明，MGRR-PSO可以解决性能较高的原始PSO无法解决的问题。

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来源
《2017 International Electronics Symposium on Knowledge Creation and Intelligent Computing》|2017年|1-5|共5页
会议地点 Surabaya(ID)
作者
Naufal Suryanto; Chihiro Ikuta; Dadet Pramadihanto;
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作者单位

Dept. of Informatics and Computer Engineering, Electronic Engineering Polytechnic Institute of Surabaya, Surabaya, Indonesia;

Dept. of Creative Technology Engineering, Anan National College of Technology, Anan, Japan;

Dept. of Informatics and Computer Engineering, Electronic Engineering Polytechnic Institute of Surabaya, Surabaya, Indonesia;

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原文格式 PDF
正文语种 eng
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关键词
Standards; Acceleration; Particle swarm optimization; Optimization; Informatics; Benchmark testing; Convergence;

机译：标准;加速;粒子群优化;优化;信息学;基准测试;收敛;;

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4. Multi-group particle swarm optimization with random redistribution [C] . Naufal Suryanto, Chihiro Ikuta, Dadet Pramadihanto International Conference on Knowledge Creation and Intelligent Computing . 2017

机译：多组粒子群优化随机重新分布
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机译：基于多组粒子群优化的分布式黑匣子逆势攻击

Multi-group particle swarm optimization with random redistribution

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