An Improved Hybrid Ant Colony Algorithm for Bi-objective VRPTW
[1]ZHU Xiaodong,WANG Ding.An Improved Hybrid Ant Colony Algorithm for Bi-objective VRPTW[J].Journal of Zhengzhou University (Engineering Science),2020,41(04):52-58.[doi:10.13705/j.issn.1671-6833.2020.04.004]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
41卷
Number of periods:
2020 04
Page number:
52-58
Column:
Public date:
2020-08-12
- Title:
- An Improved Hybrid Ant Colony Algorithm for Bi-objective VRPTW
- CLC:
- -
- DOI:
- 10.13705/j.issn.1671-6833.2020.04.004
- Abstract:
- In order to solve the problems of basic hybrid ant colony algorithm in solving large-scale VRPTW,an improved bi-objective hybrid ant colony algorithm was proposed.Firstly,the peripheral selection strategy was used to improve the selection efficiency,and a first node selection strategy was proposed to accelerate the convergence of the algorithm.Secondly,a penalty function related to the number of vehicles was added to the pheromone superposition formula to optimize the number of vehicles while optimizing the distance.Finally,a new local optimization algorithm was proposed to improve vehicle utilization and expand the neighborhood solution by inserting nodes in routes with fewer nodes into other routes.Experiments and comparisons on Solomon benchmark problems showed that the improved algorithm had the advantages of strong search ability,fast convergence speed and strong robustness.
- References:
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Last Update:
2020-10-06