期刊论文、会议论文

Zhou, Kang

英文

INTERNATIONAL JOURNAL OF UNCONVENTIONAL COMPUTING

1548-7199

2021

16

2-3

141-171

8th Asian Conference on Membrane Computing (ACMC)

NOV 14-17, 2019

Xiamen, PEOPLES R CHINA

[Shu, Hang;Zhou, Kang;He, Zhixin;Hu, Xinyue] Wuhan Polytech Univ, Dev Strategy Inst Reserve Food & Mat, Sch Math & Comp, Wuhan 430023, Peoples R China.

Int Membrane Comp Soc, Xiamen Univ

628 NORTH 2ND ST, PHILADELPHIA, PA 19123 USA

OLD CITY PUBLISHING INC

https://www.oldcitypublishing.com/journals/ijuc-home/ijuc-issue-contents/ijuc-volume-16-number-2-3-2021/ijuc-16-2-3-p-141-171/

National Key Research and Development Program of China [2017YFD0401102-02]; Key Project of Philosophy and Social Science Research Project of Hubei Provincial Department of Education [2019(19D59)]; Science and Technology Research Project of Hubei Provincial Department of Education [D20191604]

本校为第一且通讯机构

This paper presents a two-stage multi-objective evolutionary algorithm based on classified population (TSCEA) to solve vehicle routing problem with time windows (VRPTW). It is a well-known NP-hard discrete optimization problem with three objectives: to minimize the total distance cost, to minimize the number of vehicles, and to optimize the balance of routes within a limited time. For TSCEA, there are two stages: In the first stage, a population is explored using the proposed algorithm and then classified according to the number of vehicles, we call this process population classification; In t...