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《Intelligent Computer and Applications》 2019-04
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Improved Artificial Fish Swarm algorithm for MNW-based Stochastic User Equilibrium problems

LIU Baolong;Business School,University of Shanghai for Science and Technology;  
MNW Stochastic User Equilibrium model relaxes the assumption that all route perception variances of Logit model are equal,so it has a certain application prospect in traffic assignment. This paper adopts an improved Artificial Fish Swarm algorithm based on directed search variation to solve the MNW Stochastic User Equilibrium model. This algorithm can guarantee the adaptive mutation of fish swarm in the current state and move to the optimal position at the same time in the iteration. The performances are verified through an experiment with fixed demand in Nguyen Dupuis network,and the expected results showthat MNW model is applicable in practice. Based on the above,considering the shortcomings of the experiment,the paper points out a direction of the further research.
【CateGory Index】: U495;TP18
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