@inproceedings{66be859598834519a8a0ea910c5f71d1,
title = "Master-slave parallel genetic algorithm based on MapReduce using cloud computing",
abstract = "The implementation platforms of parallel genetic algorithms (PGAs) include high performance computer, cluster and Grid. Contrast with the traditional platform, a Master-slave PGA based on MapReduce (MMRPGA) of cloud computing platform was proposed. Cloud computing is a new computer platform, suites for larger-scale computing and is low cost. At first, describes the design of MMRPGA, in which the whole evolution is controlled by Master and the fitness computing is assigned to Slaves; then deduces the theoretical speed-up of MMRPGA; at last, implements MMRPGA on Hadoop and compares the speed-up with traditional genetic algorithm, the experiment result shows MMRPGA can achieve slightly lower linearspeed-up with Mapper's number.",
keywords = "Cloud computing, Hadoop, MapReduce, Master-slave PGA, Parallelgenetic algorithms",
author = "Li, {Guang Ming} and Zeng, {Wen Hua} and Zhao, {Jian Feng} and Liu Min",
year = "2012",
doi = "10.4028/www.scientific.net/AMM.121-126.4023",
language = "English",
isbn = "9783037852828",
series = "Applied Mechanics and Materials",
pages = "4023--4027",
booktitle = "Frontiers of Manufacturing and Design Science II",
note = "2nd International Conference on Frontiers of Manufacturing and Design Science, ICFMD 2011 ; Conference date: 11-12-2011 Through 13-12-2011",
}