Dynamic Hierarchical Ant Colony Optimization Based on Reward and Punishment Learning Strategy

Dynamic Hierarchical Ant Colony Optimization Based on Reward and Punishment Learning Strategy

In order to solve the problems of low precision and premature convergence of traditional ant colony system in solving traveling salesman problem (TSP), this paper proposes a dynamic hierarchical ant colony system which integrates reward and punishment learning strategy (DHL-ACS). Firstly, the ant co...

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Bibliographic Details
Main Author: MO Yadong, YOU Xiaoming, LIU Sheng
Format: Article
Language:zho
Published: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2021-09-01
Series:Jisuanji kexue yu tansuo
Subjects:
ant colony optimization (aco)
learning strategy
feedback operator
dynamic hierarchical
traveling salesman problem (tsp)
Online Access:http://fcst.ceaj.org/CN/abstract/abstract2883.shtml

Internet

http://fcst.ceaj.org/CN/abstract/abstract2883.shtml

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