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An improved ant colony algorithm, differential evolution chaos ant colony optimization (DEACO) algorithm, was proposed to plan an optimal collision-free path for mobile robot in 3-D environment. It utilized differential evolution algorithm to update pheromone and chaos disturbance factor was added when pheromone updates for possible stagnation phenomenon. So it enhances escaping capability of algorithm,...
Robot path planning is an important research topic in robotics field. The paper proposes an algorithm based on the combination of Ant Colony Optimization(ACO) and Particle Swarm Optimization(PSO) for path planning. The new algorithm combines the advantages of ACO and PSO effectively and generates the distribution of the initial information for ACO by using the merits of high efficiency and concision...
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