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.

• Periodical: Applied Mechanics and Materials (Volumes 58-60)
• Pages: 1264-1271
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.58-60.1264
• Online since: June 2011
• Authors: Wei Ning Tang
• Keywords: Collaborative Logistics Chain, Genetic Algorithm (GA), Mass Customization Logistic, Mixed Ant Colony Algorithm

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