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Before performing the DNA computation, a set of specific DNA sequences are required. However, this is a burdensome task as too many constraints need to be satisfied. In this paper, ant colony algorithm is applied to solve the problem of DNA codewords design. Inspired by the traveling salesman problem, first a city matrix with T rows and S columns is designed, in which every city denotes a DNA sequence...
When Traveling Salesman Problem (TSP) is solved by Ant Colony Optimization (ACO), the round tour that each ant generated is evaluated by its tour length, and each ant lays pheromone based on the evaluated value. Basically, ants select the next city considering pheromone intensity and the closeness of the distance. In making a round tour, however, it is probable that the only far cities remain as the...
Recently we have setup the goal of investigating new truly distributed forms of Ant Colony Optimization.We proposed a new distributed approach for Ant Colony Optimization (ACO) algorithms called Ant Colony Optimization on a Distributed Architecture (ACODA). ACODA was designed to allow efficient implementation of ACO algorithms on state-of-the art distributed multi-agent middleware. In this paper we...
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