On the Routing Problems of Vehicle with Fuzzy Demands
Zhang Han-jiang
Abstract
Zhang Han-jiang
Abstract
In this paper,the routing problems of vehicle with fuzzy demands is considered,and a fuzzy chance constrained program model is designed based on fuzzy possibility theory.Then fuzzy simulation and 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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In this paper,the routing problems of vehicle with fuzzy demands is considered,and a fuzzy chance constrained program model is designed based on fuzzy possibility theory.Then fuzzy simulation and 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.
Key concepts: Fuzzy logic, Routing (electronic design automation), Mathematical optimization, Preference, Computer science, Vehicle routing problem, Range (aeronautics), Mathematics