A genetic algorithm for solving fourth-party logistics routing optimizing problem with fuzzy duration time

Authors:
Min Huang;Yan Cui;Xingwei Wang;Hongyu Dong
Affiliations:
Northeastern University, Shenyang, China;Northeastern University, Shenyang, China;Northeastern University, Shenyang, China;Northeastern University, Shenyang, China
Venue:
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
Year:
2009

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Expected value of fuzzy variable and fuzzy expected value models

IEEE Transactions on Fuzzy Systems

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Abstract

From the beginning of the 21st century, Fourth Party Logistics (4PL) has been attracting more and more attention in many fields. In this paper, a 4PL routing problem with fuzzy duration time is presented, and the fuzzy numbers is used to denote the uncertainty of the duration time. After a simple description of 4PL, a fuzzy programming for it is built and a crisp equivalent is derived by expected value. Then genetic algorithm is designed to solved the problem. Finally, an extensive computational analysis is presented and the numerical results show that which route should be selected in order to get minimum cost in the due date.