Paper Title:
A Multiple-Objective Algorism Design and Strategy Study Based on Target Space Partitioning
  Abstract

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, 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
$32.00
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