Traveling salesman problem: a perspective review of recent research and new results with bio-inspired metaheuristics-Reference-Cited by-同舟云学术

Traveling salesman problem: a perspective review of recent research and new results with bio-inspired metaheuristics

Published:2020 Issue: Volume: Page:135-164
ISSN:
Container-title:Nature-Inspired Computation and Swarm Intelligence
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Author:

Osaba Eneko,Yang Xin-She,Del Ser Javier

Publisher

Elsevier

Reference212 articles.

1. A quantitative analysis of the simulated annealing algorithm: a case study for the traveling salesman problem;Aarts;Journal of Statistical Physics,1988

2. A comparative study of prominent particle swarm optimization based methods to solve traveling salesman problem;Akhand;International Journal of Swarm Intelligence and Evolutionary Computation,2016

3. An improved hybrid bat algorithm for traveling salesman problem;Al-Sorori,2016

4. A novel imperialist competitive algorithm for generalized traveling salesman problems;Ardalan;Applied Soft Computing,2015

5. Time-dependent asymmetric traveling salesman problem with time windows: properties and an exact algorithm;Arigliano;Discrete Applied Mathematics,2019

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