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New robust and efficient ant colony algorithms: Using new interpretation of local updating process
Authors:Hossein Miar Naimi  Nima Taherinejad
Affiliation:1. Laboratory of Zoology and Marine Biology, Department of Biological and Environmental Sciences and Technologies, University of Salento, 73100 Lecce, Italy;2. Department of Life Sciences, University of Trieste, 34127 Trieste, Italy;3. Stazione Zoologica Anton Dohrn, 80121 Napoli, Italy;4. CoNiSMa, Piazzale Flaminio 9, 00196 Roma, Italy;5. Department of Chemical and Pharmaceutical Sciences, University of Ferrara, 44121 Ferrara, Italy
Abstract:Two new efficient and robust ant colony algorithms are proposed. These algorithms contain two new and reasonable local updating rules that make them more efficient and robust. While going forward from start point to end point of a tour, the ants’ freedom to make local changes on links is gradually restricted. This idea is implemented in two different forms, leaving two new algorithms, KCC-Ants and ELU-Ants. To evaluate the new algorithms, we run them along with the old one on the standard TSP library, where in almost all of the cases the proposed algorithms had better solutions and even for some problem samples found the optimal solution.
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