Space Exploration of Multi-agent Robotics via Genetic Algorithm

Abstract : Robots play an important role in space exploration whereby the presence of human is almost impossible in some environments. Instead of using a robot, we incorporate a group of robots working together to achieve the definitive goal. Evolutionary algorithm, namely Genetic Algorithm is applied in the multi-agent robotics for space exploration. Hereby, the core focus of this paper is to study the effect of crossover rate upon the convergence of the exploration. As from our results, choosing the right parameter value is crucial for optimal coverage of the potential area.
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Communication dans un congrès
James J. Park; Albert Zomaya; Sang-Soo Yeo; Sartaj Sahni. 9th International Conference on Network and Parallel Computing (NPC), Sep 2012, Gwangju, South Korea. Springer, Lecture Notes in Computer Science, LNCS-7513, pp.500-507, 2012, Network and Parallel Computing. 〈10.1007/978-3-642-35606-3_59〉
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T. Ting, Kaiyu Wan, Ka Man, Sanghyuk Lee. Space Exploration of Multi-agent Robotics via Genetic Algorithm. James J. Park; Albert Zomaya; Sang-Soo Yeo; Sartaj Sahni. 9th International Conference on Network and Parallel Computing (NPC), Sep 2012, Gwangju, South Korea. Springer, Lecture Notes in Computer Science, LNCS-7513, pp.500-507, 2012, Network and Parallel Computing. 〈10.1007/978-3-642-35606-3_59〉. 〈hal-01551312〉

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