DocumentCode :
3011599
Title :
A Survey: Genetic Algorithms and the Fast Evolving World of Parallel Computing
Author :
Munawar, Asim ; Wahib, Mohamed ; Munetomo, Masaharu ; Akama, Kiyoshi
Author_Institution :
Grad. Sch. of Info. Sci. & Tech., Hokkaido Univ., Sapporo
fYear :
2008
fDate :
25-27 Sept. 2008
Firstpage :
897
Lastpage :
902
Abstract :
This paper gives a survey about the impact of modern parallel/distributed computing paradigms over parallel genetic algorithms (PGAs). Helping the GA community to feel more comfortable with the evolving parallel paradigms, and marking some areas of research for the high-performance computing (HPC) community is the major inspiration behind this survey. In the modern parallel computing paradigms we have considered only two major areas that have evolved very quickly during the past few years, namely, multicore computing and Grid computing. We discuss the challenges involved, and give potential solutions for these challenges. We also propose a hierarchical PGA suitable for Grid environment with multicore computational resources.
Keywords :
genetic algorithms; grid computing; parallel processing; distributed computing; genetic algorithm; grid environment; high-performance computing; parallel computing; Algorithm design and analysis; Clocks; Concurrent computing; Distributed computing; Electronics packaging; Energy consumption; Genetic algorithms; Grid computing; Multicore processing; Parallel processing; Genetic Algorithms; Grid computing; Multicore; Parallel Genetic Algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
High Performance Computing and Communications, 2008. HPCC '08. 10th IEEE International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-0-7695-3352-0
Type :
conf
DOI :
10.1109/HPCC.2008.77
Filename :
4637800
Link To Document :
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