Paper Title:
Orthogonal Genetic Algorithm and its Application in Function Optimization
  Abstract

Traditional genetic algorithm trapped into the local minimum easily. Therefore, based on a simple genetic algorithm and combine the base ideology of orthogonal test then applied it to the population initialization, crossover operator, as well as the introduction of adaptive orthogonal local search to prevent local convergence to form a new orthogonal evolutionary algorithm. Through the series of numerical experiments, proved the efficiency of the new algorithm.

  Info
Periodical
Chapter
Chapter 8: System Modeling and Simulation
Edited by
Dongye Sun, Wen-Pei Sung and Ran Chen
Pages
4528-4531
DOI
10.4028/www.scientific.net/AMM.121-126.4528
Citation
H. M. Liu, G. M. Dai, X. S. Yan, "Orthogonal Genetic Algorithm and its Application in Function Optimization", Applied Mechanics and Materials, Vols. 121-126, pp. 4528-4531, 2012
Online since
October 2011
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$32.00
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