%0 Conference Proceedings
%T Space Exploration of Multi-agent Robotics via Genetic Algorithm
%+ Xi'an Jiaotong-Liverpool University [Suzhou]
%A Ting, T., O.
%A Wan, Kaiyu
%A Man, Ka, Lok
%A Lee, Sanghyuk
%Z Part 12: DATICS
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 9th International Conference on Network and Parallel Computing (NPC)
%C Gwangju, South Korea
%Y James J. Park
%Y Albert Zomaya
%Y Sang-Soo Yeo
%Y Sartaj Sahni
%I Springer
%3 Network and Parallel Computing
%V LNCS-7513
%P 500-507
%8 2012-09-06
%D 2012
%R 10.1007/978-3-642-35606-3_59
%K Genetic Algorithm
%K Multi-agent Robotics
%K Space Exploration
%Z Computer Science [cs]Conference papers
%X 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.
%G English
%Z TC 10
%Z WG 10.3
%2 https://inria.hal.science/hal-01551312/document
%2 https://inria.hal.science/hal-01551312/file/978-3-642-35606-3_59_Chapter.pdf
%L hal-01551312
%U https://inria.hal.science/hal-01551312
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-TC10
%~ IFIP-NPC
%~ IFIP-WG10-3
%~ IFIP-LNCS-7513