@inproceedings{19f7d0d493f94942a9af299f2f50b332,
title = "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.",
keywords = "Genetic algorithm, Multi-agent robotics, Space exploration",
author = "Ting, {T. O.} and Kaiyu Wan and Man, {Ka Lok} and Sanghyuk Lee",
year = "2012",
doi = "10.1007/978-3-642-35606-3_59",
language = "English",
isbn = "9783642356056",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "500--507",
booktitle = "Network and Parallel Computing - 9th IFIP International Conference, NPC 2012, Proceedings",
note = "9th IFIP International Conference on Network and Parallel Computing, NPC 2012 ; Conference date: 06-09-2012 Through 08-09-2012",
}