Travelling
salesman problem is a well-known problem in optimization algorithms. In this
study, we propose a hybrid genetic-ant colony algorithm to solve this problem.
There are no certain formulas to determine the parameters of ant colony
algorithm. Usually, programmers use the trial and error method to find best
values. We use the genetic algorithm to optimize best parameter values of ant
colony algorithm. In this way, the success rate of ant colony algorithm is
maximized.
Subjects | Engineering |
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Journal Section | Articles |
Authors | |
Publication Date | September 30, 2017 |
Published in Issue | Year 2017 Volume: 1 Issue: 3 |