[PDF][PDF] Finding optimal paths on terrain maps using ant colony algorithm
V Rishiwal, M Yadav, KV Arya - International journal of computer …, 2010 - researchgate.net
V Rishiwal, M Yadav, KV Arya
International journal of computer theory and engineering, 2010•researchgate.netThis paper presents the meta-heuristic method of ant colony optimization (ACO) to find
optimal paths on terrain map images. The procedure simulates decision-making process of
ant colonies as they forage for food. Modifications have been made to the ACO algorithm to
solve the optimal path finding problem by optimizing multiple constraints. The number of
constraints considered here is two. However, it can effectively be used for more than two
constraints.
optimal paths on terrain map images. The procedure simulates decision-making process of
ant colonies as they forage for food. Modifications have been made to the ACO algorithm to
solve the optimal path finding problem by optimizing multiple constraints. The number of
constraints considered here is two. However, it can effectively be used for more than two
constraints.
Abstract
This paper presents the meta-heuristic method of ant colony optimization (ACO) to find optimal paths on terrain map images. The procedure simulates decision-making process of ant colonies as they forage for food. Modifications have been made to the ACO algorithm to solve the optimal path finding problem by optimizing multiple constraints. The number of constraints considered here is two. However, it can effectively be used for more than two constraints.
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