Solving a unique Shortest Path problem using Ant Colony Optimisation
نویسنده
چکیده
Ant Colony Optimisation (ACO) has in the past proved suitable to solve many optimisation problems. This research explores the ability of the ACO algorithm to balance two quality metrics (length and cost) in its decision making process. Results are given for a preliminary investigation based on a series of shortest path problems. It is concluded that, for these problems at least, the solution quality and time to solution make ACO competitive as an optimisation technique for shortest path problems in which multiple factors such as cost and length are involved.
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