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Discovering heuristic knowledge in an ant colony optimization technique

Heuristic knowledge is an instinct naturally embedded in animals for navigational purposes. Ant Colony Optimization (ACO) has captured this mechanism into a well defined technique to solve TSP and routing problems. Now, ACO gives a general framework to solve other problems in similar nature. This paper tends to explain how knowledge discovery is done in ACO and tested the modified ACO in solving robot’s path planning problem. The results have been encouraging for ACO to produce a good navigational path for a robot to follow but the performance has been inferior to fuzzy approach used in the same problem domain. The results are discussed in detail and the comparative findings are justified clearly focusing on the unique criteria of the chosen ACO technique.