A Meme-Gene Co-Evolution Algorithm for the Image-Matching Question

Abstract:

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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 et al., "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:

$35.00

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