Evolutionary algorithms: A critical review and its future prospects

@article{Vikhar2016EvolutionaryAA,
  title={Evolutionary algorithms: A critical review and its future prospects},
  author={P. A. Vikhar},
  journal={2016 International Conference on Global Trends in Signal Processing, Information Computing and Communication (ICGTSPICC)},
  year={2016},
  pages={261-265}
}
  • P. Vikhar
  • Published 1 December 2016
  • Computer Science
  • 2016 International Conference on Global Trends in Signal Processing, Information Computing and Communication (ICGTSPICC)
Evolutionary algorithm (EA) emerges as an important optimization and search technique in the last decade. [] Key Method It also includes unusual study of various invariants of EA like Genetic Programming (GP), Genetic Algorithm (GA), Evolutionary Programming (EP) and Evolution Strategies (ES). Extensions of EAs in the form of Memetic algorithms (MA) and distributed EA are also discussed. Further the paper focuses on various refinements done in area of EA to solve real life problems.

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