Diversity and Convergence Issues in Evolutionary Multiobjective Optimization: Application to Agriculture Science
- Yagyasen, Diwakar
- Darbari, Manuj
- Shukla, Praveen Kumar
- Singh, Vivek Kumar
Publication date
December 2013
DOI Publisher
The Authors. Published by Elsevier B.V.Abstract
AbstractEvolutionary 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
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