document: Evolutionary Algorithms are the stochastic optimization methods, simulating the behavior of natural evolution. These algorithms are basically population based search procedures efficiently dealing with complex search spaces having robust and powerful search mechanism. EAs are highly applicable in multiobjective optimization problem which are having conflicting objectives. This paper reviews the work carried out for diversity and convergence issues in EMO.
extractive_keyphrases: eas emo evolutionary algorithms natural evolution optimization problem population based search procedures search mechanism stochastic optimization methods
abstractive_keyphrases: reviews the work carried out for diversity and convergence issues in emo