Paper Title:
A Meme-Gene Co-Evolution Algorithm for the Image-Matching Question
  Abstract

The paper introduces the current research status of image-matching question and proposes a new improved genetic algorithm. It adopts a meme-gene co-evolution technique for the improvement of engineering performance. The simulation results show the improved GA has the higher stability and the better graph than the SGA.

  Info
Periodical
Advanced Materials Research (Volumes 121-122)
Edited by
Donald C. Wunsch II, Honghua Tan, Dehuai Zeng, Qi Luo
Pages
490-495
DOI
10.4028/www.scientific.net/AMR.121-122.490
Citation
G. X. Sun, Z. P. Peng, D. L. Cui, "A Meme-Gene Co-Evolution Algorithm for the Image-Matching Question", Advanced Materials Research, Vols. 121-122, pp. 490-495, 2010
Online since
June 2010
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Price
$32.00
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