基于改进鲸鱼优化算法的旅行商问题求解

A. Saleh, Mesut Cevik
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引用次数: 0

摘要

网络的主要问题是错误的设计和不正确的连接导致了诸如成本影响问题和网络效率等重大问题,其中最著名的是光纤网络问题,它仍然被认为是各种类型的网络的问题。旅行推销员问题(TSP)是解决这类问题的最传统的方法之一,今天依赖于优化。改进算法可能被认为是解决基于动物的TSP问题最有效的方法之一。鲸鱼优化算法(WOA)和遗传算法(GA)是本文研究tsplib类问题的重点。结果表明,鲸鱼优化算法的性能优于遗传算法,具有很好的应用前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using Modified Whale Optimization Algorithm for Solving Traveling Salesman Problem
The main problem of the network is that the wrong designs and incorrect connection lead to major problems such as cost impact problems and network efficiency, the most famous being Fiber Optical network problems that still considered a problem for various types of networking. Travel Salesmen’s Problem (TSP) is one of the most traditional methods for solving this type of problem, depending today on optimization. Modified algorithms may be regarded as one of the most resourceful and effective ways to solve animal-based TSP problems. Whale Optimization Algorithm (WOA) and Genetic Algorithm (GA) focuses this paper on TSPLIB-type issues. This work showed a greatly promising performance with Whale Optimization Algorithm and was better than the genetic algorithm.
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