Entropy Maximization Model with Quadratic Cost for Trip Distribution Problem under Hybrid Environment
Many trip distribution problems can be formulated as an entropy maximization problem with linear or quadratic cost constraints. In this paper, an entropy maximization model with chance constraint is proposed. Some important properties are investigated including the convexity theorem, and the existence and uniqueness theorem. Furthermore, fuzzy simulation, stochastic simulation and genetic algorithm are integrated to produce a hybrid intelligent algorithm for solving this model. Finally, a numerical example is given to show the efficiency of the algorithm.
Trip distribution Fuzzy variable Hybrid variable Chance measure
Xiang Li Zhongfeng Qin
Department of Mathematical Sciences, Tsinghua University, Beijing 100084, China
国际会议
江西庐山
英文
35-41
2007-10-10（万方平台首次上网日期，不代表论文的发表时间）