A Multi-Objective Memetic Algorithm Based on Chaos Optimization

In this research, a new Memetic Algorithm (MA) for Multi-Objective (MO) optimization is proposed, which combines ability of chaos optimization algorithm is proposed based on the ergodic and stochastic properties of the chaos variables. A new MA updating strategy is proposed based upon the concept to...

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Vydáno v:Applied Mechanics and Materials Ročník 130-134; s. 725 - 729
Hlavní autoři: Ammaruekarat, Paranya, Meesad, Phayung
Médium: Journal Article
Jazyk:angličtina
Vydáno: Zurich Trans Tech Publications Ltd 01.10.2011
Témata:
Chaos Optimization
Chaos Mutation
Multi-Objective Memetic Algorithm
ISBN:3037852860, 9783037852866
ISSN:1660-9336, 1662-7482, 1662-7482
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Abstract In this research, a new Memetic Algorithm (MA) for Multi-Objective (MO) optimization is proposed, which combines ability of chaos optimization algorithm is proposed based on the ergodic and stochastic properties of the chaos variables. A new MA updating strategy is proposed based upon the concept to deal with the problem of premature convergence and diversity maintenance within the chromosome. The proposed features are examined to show effects in MO optimization. The comparative study shows the effectiveness of the proposed MA, which produces solution sets that are highly competitive in terms of convergence Measurement and Spread Measurement.
AbstractList In this research, a new Memetic Algorithm (MA) for Multi-Objective (MO) optimization is proposed, which combines ability of chaos optimization algorithm is proposed based on the ergodic and stochastic properties of the chaos variables. A new MA updating strategy is proposed based upon the concept to deal with the problem of premature convergence and diversity maintenance within the chromosome. The proposed features are examined to show effects in MO optimization. The comparative study shows the effectiveness of the proposed MA, which produces solution sets that are highly competitive in terms of convergence Measurement and Spread Measurement.
Author Meesad, Phayung
Ammaruekarat, Paranya
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  organization: King Mongkut’s University of Technology North Bangkok (KMUTNB) : Department of Teacher Training in Electrical Engineering
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Cites_doi 10.1049/ecej:19890024
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10.1109/adprl.2007.368174
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Keywords Chaos Optimization
Chaos Mutation
Multi-Objective Memetic Algorithm
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Notes Selected, peer reviewed papers from the 2011 3rd International Conference on Mechanical and Electronics Engineering (ICMEE 2011), September 23-25, 2011, Hefei, China
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