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Multi-objective algorithm based on tissue P system for solving tri-objective optimization problems

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成果类型:
期刊论文
作者:
Zhixin He;Kang Zhou*;Hang Shu;Xuan Chen;Xinyu Lyu
通讯作者:
Kang Zhou
作者机构:
[Shu H.; Zhou K.; Lyu X.; He Z.] College of Mathematics and Computer Science, Wuhan Polytechnic University, Wuhan, 430023, China
[Chen X.] School of Food Science and Engineering, Wuhan Polytechnic University, Wuhan, 430023, China
通讯机构:
[Kang Zhou] C
College of Mathematics and Computer Science, Wuhan Polytechnic University, Wuhan, China
语种:
英文
关键词:
Evolutionary Algorithm;Tissue P systerm;Tri-objective VRPTW
期刊:
Evolutionary Intelligence
ISSN:
1864-5909
年:
2023
卷:
16
期:
6
页码:
1-16
机构署名:
本校为第一且通讯机构
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 vehicles routing problem with time windows (VRPTW). Unlike most of the work where just the accuracy or extensibility of the solution is the core, the proposed algorithm focuses on searching the boundaries of solution sets and ensuring the solutions have better extensibility and uniformly distributed. In MO TPS, the cells of the tissue P system are divided into two groups. The first group, consisting of only one cell, aims at...

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