New approaches for the prize-collecting covering tour problem

被引:0
|
作者
Clímaco G. [1 ]
Simonetti L. [2 ]
Rosseti I. [3 ]
González P.H. [4 ]
机构
[1] Departamento de Informática, Universidade Federal do Maranhão, São Luís
[2] Programa de Engenharia de Sistemas e Computação, Universidade Federal do Rio de Janeiro, Rio de Janeiro
[3] Instituto de Computação, Universidade Federal Fluminense, Niterói
[4] Departamente de Ciência da Computação, Centro Federal de Educação Tecnológica Celso Suckow da Foseca, Rio de Janeiro
关键词
GRASP; greedy randomised adaptive search procedure; hybrid heuristic; PCCTP; prize-collecting covering tour problem; random variable neighbourhood descent; reduction rules; RVND;
D O I
10.1504/IJISE.2023.133526
中图分类号
学科分类号
摘要
In this paper, we consider the prize-collecting covering tour problem (PCCTP), which intends to find a minimum cost tour for travelling teams that grant assistance to people located far from urban centres. We develop a branch-and-cut algorithm, some valid inequalities, and a new set of reduction rules as exact approaches. We also present a hybrid heuristic that combines a state-of-the-art heuristic for the PCCTP with integer programming techniques. Computational experiments showed that the exact approaches found several new optimal solutions while reducing CPU time, and the hybrid heuristic was able to match or improve the solution quality for many instances, along with a significant reduction of running time. Copyright © 2023 Inderscience Enterprises Ltd.
引用
收藏
页码:101 / 134
页数:33
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