Paper Title:
PSO Algorithm Based Task Allocation in Dynamic Virtual Enterprise
  Abstract

To solve the order task allocation in Dynamic Virtual Enterprise (DVE), a multi-goal decision-making model was constructed. As to the model, an improved Particle Swarm Optimization (PSO) algorithm based order task allocation method was presented on the basis of analyzing the traditional PSO algorithm. The method overcome the deficiencies of prematurely and trapped into local optimal solution easily in traditional PSO by adjusting the parameters in algorithm automatically and introducing mutation operation from genetic algorithm. And the TOPSIS based computing method of particle fitness value was researched. Finally, the feasibility of the method was verified by an application example.

  Info
Periodical
Advanced Materials Research (Volumes 189-193)
Edited by
Zhengyi Jiang, Shanqing Li, Jianmin Zeng, Xiaoping Liao and Daoguo Yang
Pages
2572-2576
DOI
10.4028/www.scientific.net/AMR.189-193.2572
Citation
J. H. Jiang, B. Y. Sheng, L. X. Gong, M. Z. Yang, "PSO Algorithm Based Task Allocation in Dynamic Virtual Enterprise", Advanced Materials Research, Vols. 189-193, pp. 2572-2576, 2011
Online since
February 2011
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Price
$32.00
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