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Multi-UAV mission planning is a combinational optimization problem, that aims at planning a set of paths for UAVs to visit targets in order to collect the maximum surveillance benefits, while satisfying some constraints. In this paper, a genetic algorithm and ant colony optimization hybrid algorithm is proposed to solve the multi-UAV mission planning. The basic idea of the proposed hybrid algorithm...
Rough set theory has been widely applied to feature selection. In this paper, a multi-objective ant colony optimization algorithm is proposed for rough feature selection. This algorithm evaluates the constructed solutions on the basis of Pareto dominance. Moreover, it only uses the non-dominated solutions to add pheromone so as to reinforce the exploitation and adopts crowding comparison operator...
As an important cooperation mechanism in multi-agent system (MAS), agent coalition has become a key topic in multi-agent research area. However, for a given task, it is difficult to search for the optimal agent coalition as the search space is exponentially dependent on the number of the agents in the system. This paper presents an ant colony optimization based algorithm which aims at finding the...
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