DocumentCode :
2961703
Title :
Hybrid approach in design of GA implementation for MapReduce
Author :
Zec, A. ; Konjicija, Samim ; Nosovic, Novica
Author_Institution :
Dept. of BHLine, BH Telecom, Sarajevo, Bosnia-Herzegovina
fYear :
2012
fDate :
25-27 Oct. 2012
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents results of research in development of parallel implementations of genetic algorithms with focus on Map-Reduce programming paradigm. It tries to classify and fit this particular implementation in special model of algorithm having in mind all specific features of programming paradigm used. Besides that, we analyze details of existing proposals for implementation and scaling GA with MapReduce, and show the results of different approach which turned out to be anti-pattern for most general cases.
Keywords :
genetic algorithms; parallel algorithms; programming; GA implementation design; Map-Reduce programming paradigm; genetic algorithm parallel implementations; hybrid approach; Algorithm design and analysis; Convergence; Genetic algorithms; Java; Scalability; Sociology; Statistics; Genetic algorithms; Hadoop applications; MapReduce; Parallel computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Telecommunications (BIHTEL), 2012 IX International Symposium on
Conference_Location :
Sarajevo
Print_ISBN :
978-1-4673-4875-1
Electronic_ISBN :
978-1-4673-4874-4
Type :
conf
DOI :
10.1109/BIHTEL.2012.6412083
Filename :
6412083
Link To Document :
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