Running genetic algorithms on Hadoop for solving high dimensional optimization problems

Hadoop is a popular MapReduce framework for developing parallel applications in distributed environments. Several advantages of MapReduce such as programming ease and ability to use commodity hardware make the applicability of soft computing methods for parallel and distributed systems easier than b...

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Veröffentlicht in:	arXiv.org 2018-02
Hauptverfasser:	Güngör Yildirim, İbrahim R Hallac, Galip Aydin, Tatar, Yetkin
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Computer networks Computer Science - Distributed, Parallel, and Cluster Computing Genetic algorithms Optimization Soft computing
Online-Zugang:	Volltext
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