Paper Title:
A Multi-Objective Memetic Algorithm Based on Chaos Optimization
  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.

  Info
Periodical
Edited by
Han Zhao
Pages
725-729
DOI
10.4028/www.scientific.net/AMM.130-134.725
Citation
P. Ammaruekarat, P. Meesad, "A Multi-Objective Memetic Algorithm Based on Chaos Optimization", Applied Mechanics and Materials, Vols. 130-134, pp. 725-729, 2012
Online since
October 2011
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