Abstract
This paper was targeted at minimizing the expectation of traveling distance maximizing the expectation of customers’ degree satisfaction, a multi-objective vehicle routing problem with stochastic demand (VRPSD) model based on soft time window was proposed. In order to solve the problem, a hybrid PSO algorithm based on Pareto optimization method was designed in this paper. The paper made the standard PSO algorithm discrete by re-defining operators and employing swap recon, utilized challenge tournament method to construct Pareto optimal solution set, applied an external archive to keep the diversity of solutions. Ultimately, a standard example is used to verify the validity of the algorithm.
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Zhao, Y., Li, C., Zhang, Jl., Ren, X., Ren, W. (2011). Research on Vehicle Routing Problem with Stochastic Demand Based on Multi-objective Method. In: Huang, DS., Gan, Y., Bevilacqua, V., Figueroa, J.C. (eds) Advanced Intelligent Computing. ICIC 2011. Lecture Notes in Computer Science, vol 6838. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24728-6_21
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DOI: https://doi.org/10.1007/978-3-642-24728-6_21
Publisher Name: Springer, Berlin, Heidelberg
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