Paper Title:
Mass Customization Collaborative Logistics Chain Optimization Based on Improved Mixed Genetic-Ant Colony Algorithm
  Abstract

Under condition of mass customization collaborative logistics chain for optimized configuration, taking quality, cost, time and collaboration degree as evaluation index systems, and aggregative value minimum of evaluation indices as object, an optimal model of mass customization collaborative logistics chain was established firstly. Secondly, based on genetic algorithm and ant colony algorithm, an improved mixed genetic-ant colony algorithm was proposed, which was suitable to solve the problem, and the solution process was explained. Finally, an example and comparison were presented to prove the feasibility and validity of the proposed algorithm. The method provides reference model and solution algorithm for mass customization collaboration logistics chain optimization.

  Info
Periodical
Edited by
Qi Luo
Pages
1264-1271
DOI
10.4028/www.scientific.net/AMM.58-60.1264
Citation
W. N. Tang, "Mass Customization Collaborative Logistics Chain Optimization Based on Improved Mixed Genetic-Ant Colony Algorithm", Applied Mechanics and Materials, Vols. 58-60, pp. 1264-1271, 2011
Online since
June 2011
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