The Accumulated Experience Ant Colony for the travelling salesman problem


Randall, Marcus; Montgomery, James

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Ant colony optimisation techniques are usually guided by pheromone and heuristic cost information when choosing the next element to add to a solution. However, while an individual element may be attractive, usually its long term consequences are neither known nor considered. For instance, a short link in a TSP may be incorporated into an ant's solution, yet, as a consequence of this link, the rest of the path may be longer than if another link was chosen. The Accumulated Experience Ant Colony uses the previous experiences of the colony to guide in the choice of elements. This is in addition to the normal pheromone and heuristic costs. The results indicate that on some problems this helps to find improved solutions to the travelling salesman problem.

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Publication type

Conference paper


Inaugural Workshop on Artificial Life (AL 2001) at the 14th Australian Joint Conference on Artificial Intelligence (AI 2001), Adelaide, Australia, 11 December 2001, no. 1, pp. 79-87


University of New South Wales




Copyright © 2001 UNSW. Paper is reproduced with the permission of the proceedings editor.