Genetic Algorithm for Fuzzy Logistics Distribution Vehicle Routing Problem
The traditional deterministic vehicle routing problem (VRP) is expanded to the situation that the VRP has fuzzy travel time features.After a simple description of the VRP with fuzzy traveling time,a mathematical model for the problem is built.Then,we put forward the concept of level effect function L(λ),established a very practical and workable measurement method IL-which can quantify the location of fuzzy number intensively and globally,and set up the uncertain degree of measurement IL-under the level effect function L(λ).Thus,we can improve this problem.And based on this we use the genetic algorithm to solve this problem.Finally,an example is presented.
vehicle routing problem genetic algorithm fuzzy travel time Level effect function IL-metric LU-uncertainty
Jiang Jia Ning Liu Ruijiang Wang
College of Science,Department of Mathematics Hebei University of Science and Technology Shijiazhuang College of Science,Department of Mathematics Hebei University of Science and Technology Shijiazhuang
国际会议
北京
英文
2008-10-12（万方平台首次上网日期，不代表论文的发表时间）