Parameter selection and adaptation in Unified Particle Swarm Optimization

被引：89

作者：

Parsopoulos, K. E.

Vrahatis, M. N. ^{[1
]}

机构：

[1] Univ Patras, Dept Math, Computat Intelligence Lab, GR-26110 Patras, Greece

[2] Univ Patras, Univ Patras Artificial Intelligence Res Ctr, GR-26110 Patras, Greece

来源：

MATHEMATICAL AND COMPUTER MODELLING | 2007年 / 46卷 / 1-2期

关键词：

Particle Swarm Optimization; Unified Particle Swarm Optimization; parameter selection; parameter adaptation;

D O I：

10.1016/j.mcm.2006.12.019

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The performance of the recently proposed Unified Particle Swarm Optimization method is investigated under different schemes for the determination and adaptation of the unification factor, which is the main parameter of the method, controlling its exploration and exploitation properties. Widely used benchmark problems are employed and numerous experiments are conducted along with statistical tests to yield useful conclusions regarding the effect of the parameter on the algorithm's performance as well as the most efficient adaptation schemes. (c) 2007 Elsevier Ltd. All rights reserved.

引用

页码：198 / 213

页数：16

共 26 条

[1] Optimal design of power-system stabilizers using particle swarm optimization [J].

Abido, MA .

IEEE TRANSACTIONS ON ENERGY CONVERSION, 2002, 17 (03) :406-413

[2] Feature selection for structure-activity correlation using binary particle swarms [J].

Agrafiotis, DK ;

Cedeño, W .

JOURNAL OF MEDICINAL CHEMISTRY, 2002, 45 (05) :1098-1107

[3]

Angeline PJ., 1995, COMPUTATIONAL INTELL, P152

[4]

Angline P, 1998, EVOLUTIONARY OPTIMIZ, V1447, P601, DOI DOI 10.1007/BFB0040753

[5]

Back T., 1997, Handbook of evolutionary computation

[6]

Blackwell Tim., 2007, Particle swarm optimization, encyclopedia of machine learning, V1, P33, DOI DOI 10.4018/IJMFMP.2015010104

[7]

Bonabeau E., 1999, Swarm Intelligence: From Natural to Artificial Systems

[8] The particle swarm - Explosion, stability, and convergence in a multidimensional complex space [J].

Clerc, M ;

Kennedy, J .

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2002, 6 (01) :58-73

[9]

Dorigo M, 1999, NEW IDEAS OPTIMIZATI, P11

[10]

Eberhart R., 1995, MHS 95 P 6 INT S MIC, DOI DOI 10.1109/MHS.1995.494215

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