Application a Modified Imperialist Competitive Algorithm for Solving the Traveling Salesman Problem


1 Young Researchers Club, Hamedan Branch, Islamic Azad University, Hamedan, Iran

2 College of Mathematics and Computer Science, Amirkabir University of Technology, Tehran, Iran


This paper proposes a modified Imperialist Competitive Algorithm (MICA) for solving the Traveling Salesman Problem (TSP) that is different with common Imperialist Competitive Algorithm (ICA) in assimilation policy between Imperialist and colonies countries and revolution of colonies. Furthermore, the 3-opt local search is used for increasing performance of the algorithm. The new ICA algorithm is  tested on nineteen instances of TSBLIB and its performance is compared with  ICA, Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Evolutionary Algorithm (EA) and Bee Colony Optimization (BCO). Extensive computational tests confirm the effectiveness of the proposed approach.

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