FL-MTSP: a fuzzy logic approach to solve the multi-objective multiple traveling salesman problem for multi-robot systems-Reference-Cited by-同舟云学术

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FL-MTSP: a fuzzy logic approach to solve the multi-objective multiple traveling salesman problem for multi-robot systems

Published:2016-08-09 Issue:24 Volume:21 Page:7351-7362
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Trigui Sahar,Cheikhrouhou Omar,Koubaa Anis,Baroudi Uthman,Youssef Habib

Funder

King Fahd University of Petroleum & Minerals (KFUPM), the Kingdom of Saudi Arabia

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

http://link.springer.com/article/10.1007/s00500-016-2279-7/fulltext.html

Reference34 articles.

1. Bérubé JF, Gendreau M, Potvin JY (2009) An exact $$\varepsilon $$ ε -constraint method for bi-objective combinatorial optimization problems: application to the traveling salesman problem with profits. Eur J Oper Res 194:39–50

2. Bolaños R, Echeverry M, Escobar J (2015) A multiobjective non-dominated sorting genetic algorithm (NSGA-II) for the multiple traveling salesman problem. Decis Sci Lett 4:559–568

3. Brown EC, Ragsdale CT, Carter AE (2007) A grouping genetic algorithm for the multiple traveling salesperson problem. Int J Inf Technol Decis Mak 6:333347

4. Carter AE, Ragsdale CT (2006) A new approach to solving the multiple traveling salesperson problem using genetic algorithms. Eur J Oper Res 175:245–257

5. Cheikhrouhou O, Koubâa A, Bennaceur H (2014) Move and improve: a distributed multi-robot coordination approach for multiple depots multiple travelling salesmen problem. In: IEEE international conference on autonomous robot systems and competitions (ICARSC) 2014, IEEE, p 28–35

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