Computer Science – Artificial Intelligence
Scientific paper
2008-11-02
Computer Science
Artificial Intelligence
2008 IEEE Region 10 Colloquium and the Third ICIIS, Kharagpur, INDIA. Paper ID: 250
Scientific paper
The paper presents an exponential pheromone deposition rule to modify the basic ant system algorithm which employs constant deposition rule. A stability analysis using differential equation is carried out to find out the values of parameters that make the ant system dynamics stable for both kinds of deposition rule. A roadmap of connected cities is chosen as the problem environment where the shortest route between two given cities is required to be discovered. Simulations performed with both forms of deposition approach using Elitist Ant System model reveal that the exponential deposition approach outperforms the classical one by a large extent. Exhaustive experiments are also carried out to find out the optimum setting of different controlling parameters for exponential deposition approach and an empirical relationship between the major controlling parameters of the algorithm and some features of problem environment.
Acharya Ayan
Banerjee Aritra
Konar Amit
Maiti Deepyaman
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