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Vehicle routing problem with fuzzy demands based on hybrid differential evolution

Erbao Cao, Mingyong Lai, LI Dong-hui

Abstract

In this paper,the vehicle routing problem with fuzzy demands is considered.A fuzzy chance constrained program model is designed based on fuzzy credibility theory.Stochastic simulation and an improved differential evolution algorithm are integrated to design a hybrid intelligent algorithm to solve the fuzzy vehicle routing model.Moreover,the influence of the decision-maker's preference on the final objective of the problem is discussed using the method of stochastic simulation,and the rational range of the preference number is obtained.

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Available abstract

Key concepts: Fuzzy logic, Mathematical optimization, Routing (electronic design automation), Differential evolution, Preference, Computer science, Vehicle routing problem, Range (aeronautics)