Paper Title
Optimization With Map Reduce and CWW Algorithm
Abstract
As world grow, parameters of jobs are increasing and optimization of this parameters has significant importance, in
this regard; metaheuristic optimization algorithms has broad usage. However these algorithms can be more effective if they can
work in distributed environment. It has been noticed that such a distributed optimization application exist but an application in
MapReduce platform has yet to be done. In this paper we have been choose to work with MapReduce framework and Circular
Water Wave (CWW) Algorithm. With MapReduce framework bigger problems may be solved with lesser cost and time.
Index Terms— Distributed working, MapReduce, Metaheuristic Algorithms, Optimization.