AUTHORS: Saaidia Riadh, Mohamed Sahbi Bellamine, Abdessattar Ben Amor
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ABSTRACT: The sphere of conflict zones is extended each year all over the world, and the remain of war and the explosive devises increase the percentage of death and causalities. This critical situation needs the built of a new strategy for demining operation. This paper adopts the ant colony optimization (ACO) algorithms to coordinate a demining multi robot system. In general, demining operations have humanitarian purposes and the operator security is the most focused criteria in demining systems. Otherwise, other criteria are considered for militaries applications. In fact, time demining operation should be optimized in the case of large-scale minefield area. In this paper, two modifications were performed on ACO algorithm related to ant nest position and evaporation pheromone rate. We perform for each situation different experimentations for three types of minefield distributions.
KEYWORDS: ACO algorithms (Ant colony optimization algorithms), Demining operation, Evaporation pheromone rate, Landmine, Multi-robotic systems (MRSs), Meta-heuristic, Temporal performances
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