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.
History
Publication title
Proceedings of the Inaugural Workshop on Artificial Life (AL 01)
Pagination
79-87
ISBN
0731705084
Department/School
School of Information and Communication Technology
Publisher
University of New South Wales
Place of publication
NSW, Australia
Event title
Inaugural Workshop on Artificial Life (AL 01)
Event Venue
Adelaide, South Australia
Date of Event (Start Date)
2001-12-11
Date of Event (End Date)
2001-12-11
Rights statement
Copyright unknown
Repository Status
Restricted
Socio-economic Objectives
Expanding knowledge in the information and computing sciences