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An artificial fish swarm algorithm for a multi-objective grain transportation problem

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成果类型:
期刊论文
作者:
Jia, Shiyu;Zhou, Kang;Zhou, Sisi;Fang, Haocheng;Zhen, Yiting;...
通讯作者:
Zhou, Kang(zhoukang_wh@163.com)
作者机构:
[Jia, Shiyu; Zhou, Kang; Zhou, Sisi; Fang, Haocheng; Zhen, Yiting; Zou, Yilin] School of Math and Computer, Wuhan Polytechnic University, Wuhan
Hubei
430023, China
[Jia, Shiyu; Zhou, Kang; Zhou, Sisi; Fang, Haocheng; Zhen, Yiting; Zou, Yilin] Hubei
[Jia, Shiyu; Zhou, Kang; Zhou, Sisi; Fang, Haocheng; Zhen, Yiting; Zou, Yilin] 430023, China
通讯机构:
[Kang Zhou] S
School of Math and Computer, Wuhan Polytechnic University, Wuhan, Hubei, China
语种:
英文
关键词:
Artificial fish swarm algorithm;GTOP;Improved artificial fish swarm algorithm;MOP
期刊:
Evolutionary Intelligence
ISSN:
1864-5909
年:
2020
卷:
13
期:
1
页码:
9-19
机构署名:
本校为第一且通讯机构
院系归属:
数学与计算机学院
摘要:
The problem of grain transportation optimization is a typical NP-complete problem. To solve the problem, it is necessary to construct a mathematical model for the optimization of grain transportation. As the single-objective grain transportation route optimization model is difficult to better simulate the complex and varied conditions in real life, the multi-objective grain transportation route optimization model is closer to reality and has more guiding significance for practical problems. Therefore, this paper constructs a multi-objective gra...

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