Citation

Atyabi, Adham and Phon-Amnuaisuk, Somnuk and Ho, Chin Kuan (2007) Effects of Communication Range, Noise and Help Request Signal on Particle Swarm Optimization with Area Extension (AEPSO). In: IEEE/WIC/ACM International Conference on Intelligent Agent Technology and Web Intelligence, 02-05 NOV 2007 , Fremont, CA.

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Abstract

Particle Swarm Optimization (PSO) method is an Evolutionary algorithm, which outperformed other evolutionary algorithms, such as; GA. PSO method is inspired by animal's group work and social behaviors. Particle Swarm Optimization with Area Extension (AEPSO) was introduced to solve the weaknesses of Basic PSO in static, dynamic optimization tasks (i.e. a group of robots disarm a set of time bomb placed at random in environment). This paper, investigated the effectiveness of AEPSO in a Real-Time problem with a noisy environment. We also explored the effectiveness of different communication ranges and help request on AEPSO.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	T Technology > T Technology (General) Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	07 Oct 2011 06:33
Last Modified:	07 Oct 2011 06:33
URII:	http://shdl.mmu.edu.my/id/eprint/3176

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