A new crossover approach for solving the multiple travelling salesmen problem using genetic algorithms-Reference-Cited by-同舟云学术

A new crossover approach for solving the multiple travelling salesmen problem using genetic algorithms

Published:2013-07 Issue:1 Volume:228 Page:72-82
ISSN:0377-2217
Container-title:European Journal of Operational Research
language:en
Short-container-title:European Journal of Operational Research

Author:

Yuan Shuai,Skinner Bradley,Huang Shoudong,Liu Dikai

Publisher

Elsevier BV

Subject

Information Systems and Management,Management Science and Operations Research,Modeling and Simulation,General Computer Science,Industrial and Manufacturing Engineering

Reference36 articles.

1. The multiple traveling salesman problem: an overview of formulations and solution procedures;Bektas;Omega,2006

2. Transformation of multisalesmen problem to the standard traveling salesman problem;Bellmore;Journal of the Association Computer Machinery,1974

3. Optimization of process route by genetic algorithms;Bo;Robotics and Computer-Integrated Manufacturing,2006

4. Carter, A.E., 2003. Design and Application of Genetic Algorithms for the Multiple Traveling Salesperson Assignment Problem. Unpublished PhD Research, Virginia Polytechnic Institute and State University, Blacksburg, Virginia.

5. A new approach to solving the multiple traveling salesperson problem using genetic algorithms;Carter;European Journal of Operational Research,2006

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