Efficient routing optimization with discrete penguins search algorithm for MTSP

Q1 Decision Sciences
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引用次数: 4

Abstract

The Travelling Salesman Problem (TSP) is a well-known combinatorial optimization problem that belongs to a class of problems known as NP-hard, which is an exceptional case of travelling salesman problem (TSP), which determines a set of routes enabling multiple salesmen to start at and return to home cities (depots). The penguins search optimization algorithm (PeSOA) is a new metaheuristic optimization algorithm. In this paper, we present a discrete penguins search optimization algorithm (PeSOA) for solving the multiple travelling salesman problem (MTSP). The PeSOA evaluated by a set of benchmarks of TSP instance from TSPLIB library. The experimental results show that PeSOA is very efficient in finding the right solutions in a reasonable time
基于离散企鹅搜索算法的MTSP高效路由优化
旅行推销员问题(TSP)是一个众所周知的组合优化问题,属于一类被称为NP-hard的问题,这是旅行推销员问题的一个特例,旅行推销员问题确定了一组路线,使多个推销员能够从家乡(仓库)出发并返回家乡。企鹅搜索优化算法(PeSOA)是一种新的元启发式优化算法。在本文中,我们提出了一种离散企鹅搜索优化算法(PeSOA)来解决多重旅行商问题(MTSP)。通过TSPLIB库中TSP实例的一组基准测试对PeSOA进行了评估。实验结果表明,PeSOA在合理的时间内找到正确的解决方案是非常有效的
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来源期刊
Decision Making Applications in Management and Engineering
Decision Making Applications in Management and Engineering Decision Sciences-General Decision Sciences
CiteScore
14.40
自引率
0.00%
发文量
35
审稿时长
14 weeks
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