Fitness-Distance-Ratio Particle Swarm Optimization: Stability Analysis

被引：11
|
作者：
Cleghorn, Christopher W. [1 ]
Engelbrecht, Andries P. [1 ]
机构：
[1] Univ Pretoria, Dept Comp Sci, Pretoria, South Africa
来源：
PROCEEDINGS OF THE 2017 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (GECCO'17) | 2017年
关键词：
Particle swarm optimization; stability analysis; theory; CONVERGENCE ANALYSIS; VARIANTS;
D O I：
10.1145/3071178.3071256
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
At present the fitness-distance-ratio particle swarm optimizer (FDR-PSO) has undergone no form of theoretical stability analysis. "is paper theoretically derives the conditions necessary for order-1 and order-2 stability, under the well known stagnation assumption. Since it has been shown that particle stability has a meaningful impact on PSO's performance, it is important for PSO practitioners to know the actual criteria for particle stability. This paper validates its theoretical findings against an assumption free FDR-PSO algorithm. This empirical validation is necessary for a truly accurate representation of FDR-PSO's stability criteria.
引用
收藏
页码：12 / 18
页数：7
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