期刊论文

Wu, D. Q.

英文

International Journal of Simulation Modelling

1726-4529

2016

15

4

742-753

10.2507/IJSIMM15(4)CO19

The authors would like to thank all the reviewers for their constructive comments. This research was supported by the project of Ministry of Education of Hunan province (No. 2016NK2135), the project of Hunan Provincial Department of Science and Technology (No. 2015JC3089), the open fund of Key Laboratory of Guangxi High Schools for Complex System & Computational Intelligence (No. 15CI07Y), the open project program of artificial intelligence key laboratory of Sichuan province (No. 2015RYJ01), the China Statistical Science Research Project (No. 2015LZ17), the Natural Science Foundation of Shanghai, China (No. 16ZR1401100), the Shanghai Academy of Productivity young scholars’ research assistant fund, the social science project in Hunan province.

本校为通讯机构

This paper introduces a novel multi-objective algorithm (HMPSO) based on discrete particle swarm optimization (PSO) to solve vehicle routing problems with time windows (VRPTW). The presented HMPSO algorithm was combined with an advanced discrete PSO based on set and variable neighbourhood searches to find Pareto optimal routing solutions. These consisted of a complete routing schedule for serving the customers to minimize the two aims of travelling distance and number of vehicles. To increase the discrete PSO efficiency, a novel decoding scheme...