A Multi-Objective Memetic Algorithm Based on Chaos Optimization

Author:

Ammaruekarat Paranya1,Meesad Phayung1

Affiliation:

1. King Mongkut’s University of Technology North Bangkok (KMUTNB)

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.

Publisher

Trans Tech Publications, Ltd.

Reference12 articles.

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3. ‏ Kumar R, Singh PK , Pareto evolutionary Algorithm hybridized with local search for biobjective TSP, In: Grosan C, Abraham A, Ishibuchi H (eds) Hybrid Evolutionary Algorithms, Springer, Berlin, 2007, p.361–98.

4. Nguyen Quoc Viet Hung, Ta Quang Binh and Duong Tuan Anh, A Memetic Algorithm for Timetabling" Proceedings of 3nd Int, Conf. RIVF, 05 Research Informatics Vietnam-Francophony , 2005 , p.289 – 294.

5. H Ishibuchi, Y Hitotsuyanagi, N Tsukamoto, Y., Implementation of Multiobjective Memetic Algorithms for Combinatorial Optimization Problems: A Knapsack Problem Case Study , Multi-objective Memetic Algorithms, 2009 , p.27–49.

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