Modified Ant Colony Optimizer (MACO) for the Travelling Salesman Problem (TSP)
نویسندگان
چکیده
Travelling Salesman Problem (TSP) is a classical combinatorial optimization problem. This problem is NP-hard in nature. Meta-heuristic approaches have proved to be quite useful for approximate solution of difficult combinatorial optimization problems. Ant colony optimization is one of the popular Meta-heuristics and is unique on the basis of its distributed computation and indirect communication process via pheromone (chemical substance) deposition on their way. This paper deals with the implementation of a new Ant Colony model, Modified Ant Colony Optimizer (MACO), in which pheromone updation procedure is modified and is tested against TSP. The result of implementation shows that our proposed technique has a better performance than the conventional ACO.
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Modified Ant Colony Optimization Algorithm for Travelling Salesman Problem
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