Paper Title:
An Improved Genetic Algorithm Based on K2(m) Triangulation of Continuous Self-Mapping
  Abstract

In this paper an improved genetic algorithm based on the simplex self-mapping fixed point algorithm is proposed. With this algorithm, the optimal problem of n-dimensional closure function will be transformed as the solution of approximate fixed point problem of n-dimensional standard simplexes by homeomorphism mapping. The genetic operators relying on the integer labels are designed. In this case, whether every individual loading simplex of the population is a completely labeled simplex can be used as an objective convergence criterion. The simulation results demonstrate that the proposed algorithm is valid and effective.

  Info
Periodical
Advanced Materials Research (Volumes 295-297)
Chapter
Chapter 8: Manufacturing in a Competitive Environment
Edited by
Pengcheng Wang, Liqun Ai, Yungang Li, Xiaoming Sang and Jinglong Bu
Pages
2515-2520
DOI
10.4028/www.scientific.net/AMR.295-297.2515
Citation
J. J. Zhang, H. Chen, R. Z. Gao, "An Improved Genetic Algorithm Based on K2(m) Triangulation of Continuous Self-Mapping", Advanced Materials Research, Vols. 295-297, pp. 2515-2520, 2011
Online since
July 2011
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Price
$32.00
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