A multi-agent based approach for particle swarm optimization

被引：12

作者：

Ahmad, Raheel ^{[1
]}

Lee, Yung-Chuan ^{[1
]}

Rahimi, Shahram ^{[1
]}

Gupta, Bidyut ^{[1
]}

机构：

[1] Southern Illinois Univ, Dept Comp Sci, Carbondale, IL 62901 USA

来源：

2007 INTERNATIONAL CONFERENCE ON INTEGRATION OF KNOWLEDGE INTENSIVE MULTI-AGENT SYSTEMS | 2007年

关键词：

D O I：

10.1109/KIMAS.2007.369820

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We propose a new approach towards Particle Swarm Optimization named Agent-based PSO. The swarm is elevated to the status of a multi-agent system by giving the particles more autonomy, an asynchronous execution, and superior learning capabilities. The problem space is modeled as an environment which forms clusters of points that are known to be non-optimal and this transforms the environment into a more dynamic and informative resource.

引用

页码：267 / +

页数：3

共 8 条

[1]

AHMAD R, 2006, IN PRESS SCABLE COMP

[2]

CORRELL N, 2004, P 7 S DISTR AUT ROB

[3]

Ester M., 1996, P 2 INT C KNOWL DISC, P226, DOI DOI 10.5555/3001460.3001507

[4]

Kennedy J., 1995, 1995 IEEE International Conference on Neural Networks Proceedings (Cat. No.95CH35828), P1942, DOI 10.1109/ICNN.1995.488968

[5] The particle swarm: Social adaptation of knowledge [J].

Kennedy, J .

PROCEEDINGS OF 1997 IEEE INTERNATIONAL CONFERENCE ON EVOLUTIONARY COMPUTATION (ICEC '97), 1997, :303-308

[6]

Ng R.T., 1994, P 20 VLDB C SANT CHI, P144

[7]

NWANA HS, 1997, LECT NOTES ARTIF INT, V1198, P3

[8] A multiagent-based particle swarm optimization approach for optimal reactive power dispatch [J].

Zhao, B ;

Guo, CX ;

Cao, YJ .

IEEE TRANSACTIONS ON POWER SYSTEMS, 2005, 20 (02) :1070-1078

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