Study on Chaotic Particle Swarm Optimization Algorithm in Solution of Logistics Scheduling Problem

Yu Qiang Chen; Na Xin Peng

doi:10.4028/www.scientific.net/AMR.798-799.720

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 798-799Study on Chaotic Particle Swarm Optimization...

Study on Chaotic Particle Swarm Optimization Algorithm in Solution of Logistics Scheduling Problem

Abstract:

Study the basic theory and process of chaos particle swarm optimization (PSO) algorithm, improve the basic PSO algorithm by introducing the self-adaptive inertia weighting factor method. Construct the mathematical model of basic logistics scheduling to complete the simulation analysis experiments. Experiment results show that self-adaptive chaos particle swarm optimization algorithm is effective and feasible to solve the logistics scheduling model problem.

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Periodical:

Advanced Materials Research (Volumes 798-799)

Pages:

720-727

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.798-799.720

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Online since:

September 2013

Authors:

Yu Qiang Chen, Na Xin Peng

Keywords:

Chaotic Particle Swarm Optimization Algorithm, Related Vehicle Routing Problem, Self-Adaption, Vehicle Routing Problem

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