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Ant meeting problem is a distributed problem that its purpose is to find an efficient path for ants to meet each other. Actually, ant robots suffer from the low memory and their restricted computational power. They communicate with their environment by leaving some symptoms like pheromones in their surroundings. In the problem of ants meeting, the ants should reach together in order to cooperate in...
In continuous non-revisiting genetic algorithm (cNrGA), the solution set with different order leads to different density estimation and hence different mutation step size. As a result, the performance of cNrGA depends on the order of the evaluated solutions. In this paper, we propose to remove this dependence by a search space re-partitioning strategy. At each iteration, the strategy re-shuffles the...
Ant Colony Optimization (ACO) is a stochastic search method that mimics the social behavior of real ants colonies, which manage to establish the shortest route to feeding sources and back. Such algorithms have been developed to arrive at near-optimal solutions to large-scale optimization problems, for which traditional mathematical techniques may fail. On this paper semi-random start is applied. A...
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