Using Genetic Algorithms to Optimize ACS-TSP
نویسندگان
چکیده
We propose the addition of Genetic Algorithms to Ant Colony System (ACS) applied to improve performance. Two modifications are proposed and tested. The first algorithm is a hybrid between ACS-TSP and a Genetic Algorithm that encodes experimental variables in ants. The algorithm does not yield improved results but offers concepts that can be used to improve the ACO algorithm. The second algorithm uses a Genetic Algorithm to evolve experimental variable values used in ACSTSP. We have found that the performance of ACS-TSP can be improved by using the suggested values.
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تاریخ انتشار 2002