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Coordinated multi-robot exploration based on parallelism selection genetic algorithm

Xizhe Zang

Year
2008
Citations
6

Abstract

How to minimize the repeated exploration or coverage is a important problem on the multi-robot exploration issue.Based on parallelism selection genetic algorithm,a new genetic algorithm with good efficiency is proposed.Simulation and experiment results show that the algorithm can decrease the probability of collision of robots and improve the efficiency of the multi-robot exploration.

Keywords

Computer scienceRobotGenetic algorithmParallelism (grammar)Selection (genetic algorithm)CollisionAlgorithmData parallelismArtificial intelligenceParallel computing

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