Paper Title
Optimization With Mapreduce and CWW Algorithm

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´┐Ż Distributed working, MapReduce, Metaheuristic Algorithms, Optimization.