Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/17737
Title: Chaotic hybrid algorithm and its application in circle detection
Authors: Wu, CH
Dong, N
Ip, WH 
Chan, CY
Yung, KL 
Chen, ZQ
Keywords: Chaos
Circle Detection
GA
Multimodal Optimization
PSO
Issue Date: 2010
Publisher: Springer
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2010, v. 6024 lncs, no. part 1, p. 302-311 How to cite?
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
Abstract: An evolutionary circle detection method based on a novel Chaotic Hybrid Algorithm (CHA) is proposed. The method combines the strengths of particle swarm optimization, genetic algorithms and chaotic dynamics, and involves the standard velocity and position updating rules of PSO with the ideas of GA selection, crossover and mutation. In addition, the notion of species is introduced into the proposed CHA to enhance its performance in solving multimodal problems. The effectiveness of the Species based Chaotic Hybrid Algorithm (SCHA) is proven through simulations and benchmarking, and finally, it is successfully applied to solve circle detection problems.
Description: EvoCOMPLEX, EvoGAMES, EvoIASP, EvoINTELLIGENCE, EvoNUM, and EvoSTOC, EvoApplicatons 2010, Istanbul, 7-9 April 2010
URI: http://hdl.handle.net/10397/17737
ISBN: 3642122388
9783642122385
ISSN: 0302-9743
EISSN: 1611-3349
DOI: 10.1007/978-3-642-12239-2-31
Appears in Collections:Conference Paper

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