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Multi-Objective Algorithm Based on Tissue P System for Solving Tri-objective Grain Dispatching and Transportation

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成果类型:
会议论文
作者:
He Z.;Zhou K.;Shu H.;Zhou J.;Lyu X.;...
通讯作者:
Zhou, K.
作者机构:
[Shu H.; Lyu X.; He Z.; Zhou K.] College of Mathematics and Computer Science, Wuhan Polytechnic University, Wuhan, 430023, China
[Zhou J.] School of Food Science and Engineering, Wuhan Polytechnic University, Wuhan, 430023, China
[Li G.] Qianjiang Jujin Rice Industry Co., Ltd., Enterprise-School Joint Innovation Center, Hubei, China
通讯机构:
[Zhou, K.] C
College of Mathematics and Computer Science, China
语种:
英文
关键词:
Evolutionary Algorithm;Tissue P systerm;Tri-objective VRPTW
期刊:
Communications in Computer and Information Science
ISSN:
1865-0929
年:
2021
卷:
1363 CCIS
页码:
534-559
会议名称:
15th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2020
会议时间:
23 October 2020 through 25 October 2020
主编:
Pan L.Pang S.Song T.Gong F.
出版者:
Springer Science and Business Media Deutschland GmbH
ISBN:
9789811613531
基金类别:
Acknowledgement. This work is partially supported by subproject of the National Key Research and Development Program of China (Grant No. 2017YFD0401102-02), Key Project of Philosophy and Social Science Research Project of Hubei Provincial Department of Education in 2019(19D59) and Science and Technology Research Project of Hubei Provincial Department of Education (D20191604).
机构署名:
本校为第一机构
院系归属:
食品科学与工程学院
数学与计算机学院
摘要:
This paper presents a multi-objective algorithm based on tissue P system(MO TPS for short) for solving the tri-objective grain dispatching and transportation. This problem can be abstracted to solve the tri-objective VRPTW. In the algorithm, the cells of the tissue P system are divided into two groups. The first group, consisting of only one cell, aims at approaching to the Pareto front by the intelligent algorithm with non-domination rule while second group, consisting of six cells, focuses on searching boundaries by the artificial bee colony ...

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