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There are various metaheuristic algorithms which are used to solve the Traveling Salesman problem. Ant Colony Optimization (ACO) is one such algorithm, which is inspired by the foraging behavior of ants. In this paper, the authors have proposed a modified model, entitled as Signed Adaptive Ant System (SAAS) for pheromone updation of the Ant-System; SAAS exploits the properties of Adaptive Filters. The proposed algorithm is implemented using sign-LMS (Least Mean Square) based algorithm. It imparts no information about the correction factor of the LMS adaptive algorithm but provides the sign value of each function in the correction factor of the LMS algorithm.
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