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Metaheuristics in Big Data: A Review Paper

Soumya Sharma, Anurag Singh Baghel

Abstract


Metaheuristics encompass a very wide range of algorithm, all having very different underlying principles. But all these algorithms are stochastic in nature. Big data is an emerging field. Big data has some of its own problems, some of them being the optimization problems. This paper gives a brief glimpse of metaheuritics and its algorithm, big data and its corresponding fields. In the last section we also explain how these algorithms can be incorporated with big data.

Keywords: Metaheuristics, big data, algorithms

Cite this Article
Soumya Sharma, Anurag Singh Baghel. Metaheuristics in Big Data: A Review Paper. Journal of Software Engineering Tools & Technology Trends. 2016; 3(2): 33–44p.


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