A Multiple-Objective Algorism Design and Strategy Study Based on Target Space Partitioning

Abstract:

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This paper proposed a multiple-objective algorism based on target space partitioning and demonstrated its evolution and optimization. The result showed that this algorism is effective in keeping the even distribution and convergence of the solutions. This paper also proposed an innovative design idea for algorism computation – the concept of tolerance is introduced and by adopting the double-population storage mechanism, the algorism's overall optimization capability is improved.

Info:

Periodical:

Advanced Materials Research (Volumes 219-220)

Edited by:

Helen Zhang, Gang Shen and David Jin

Pages:

1228-1232

DOI:

10.4028/www.scientific.net/AMR.219-220.1228

Citation:

Z. X. Shang and H. Liu, "A Multiple-Objective Algorism Design and Strategy Study Based on Target Space Partitioning", Advanced Materials Research, Vols. 219-220, pp. 1228-1232, 2011

Online since:

March 2011

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Price:

$35.00

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