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Solving the clustered traveling salesman problem via traveling salesman problem methods [PDF]

open access: yesPeerJ Computer Science, 2022
The Clustered Traveling Salesman Problem (CTSP) is a variant of the popular Traveling Salesman Problem (TSP) arising from a number of real-life applications.
Yongliang Lu, Jin-Kao Hao, Qinghua Wu
doaj   +3 more sources

Genetic Algorithm for Traveling Salesman Problem with Modified Cycle Crossover Operator. [PDF]

open access: yesComput Intell Neurosci, 2017
Genetic algorithms are evolutionary techniques used for optimization purposes according to survival of the fittest idea. These methods do not ensure optimal solutions; however, they give good approximation usually in time.
Hussain A   +5 more
europepmc   +2 more sources

Review of Multiple Traveling Salesman Model and Its Application [PDF]

open access: yesJisuanji kexue yu tansuo, 2022
As a generalization of the classical traveling salesman problem (TSP), the multiple traveling salesman problem (MTSP) is one of the well-known combinatorial optimization problems.
ZHANG Shuohang, GUO Gaizhi
doaj   +1 more source

How Good is Neural Combinatorial Optimization? A Systematic Evaluation on the Traveling Salesman Problem [PDF]

open access: yesIEEE Computational Intelligence Magazine, 2022
Traditional solvers for tackling combinatorial optimization (CO) problems are usually designed by human experts. Recently, there has been a surge of interest in utilizing deep learning, especially deep reinforcement learning, to automatically learn ...
Shengcai Liu, Yu Zhang, K. Tang, X. Yao
semanticscholar   +1 more source

A Natural Approach to Solving the Traveling Salesman Problem

open access: yesКібернетика та комп'ютерні технології, 2023
Introduction. The traveling salesman problem is a transport-type problem. It is natural to use a method based on the technology for solving transport problems to solve it.
Dmitri Terzi
doaj   +1 more source

Circular Jaccard distance based multi-solution optimization for traveling salesman problems

open access: yesMathematical Biosciences and Engineering, 2022
Traveling salesman problem is a widely studied NP-hard problem in the field of combinatorial optimization. Many and various heuristics and approximation algorithms have been developed to address the problem.
Hui Li, Mengyao Zhang, Chenbo Zeng
doaj   +1 more source

Population-Based Algorithm for Solving the Traveling Salesman Problem

open access: yesСовременные информационные технологии и IT-образование, 2021
This article covers the population-based hybrid algorithm for solving the traveling salesman problem. The algorithm is built on two algorithms: the genetic algorithm and the particle swarm algorithm.
Elena Polupanova, Aleksey Polyakov
doaj   +1 more source

Exact Methods for the Traveling Salesman Problem with Drone

open access: yesTransportation Science, 2021
Efficiently handling last-mile deliveries becomes more and more important nowadays. Using drones to support classical vehicles allows improving delivery schedules as long as efficient solution methods to plan last-mile deliveries with drones are ...
R. Roberti, Mario Ruthmair
semanticscholar   +1 more source

Tabu Search Method for Solving the Traveling salesman Problem [PDF]

open access: yesAl-Rafidain Journal of Computer Sciences and Mathematics, 2008
This research presents the fundamental concepts of tabu search for   optimization problem as symmetric traveling salesman problem. The purpose of this research is to solve the traveling salesman problem with tabu search method, to find an optimal ...
Isra Alkallak, Ruqaya Sha’ban
doaj   +1 more source

An ant colony genetic fusion routing algorithm based on soft define network

open access: yesIET Networks, EarlyView., 2022
Abstract Aiming at the problem that there are many paths in data forwarding in soft define network (SDN) network, and the optimal path is difficult to find, combined with the advantages of ant colony algorithm and Genetic algorithm (GA), a routing control strategy based on the ant colony genetic fusion algorithm is proposed.
Kaixin Zhao, Yong Wei, Yang Zhang
wiley   +1 more source

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