Evolutionary algorithms: A critical review and its future prospects

@article{Vikhar2016EvolutionaryAA,
  title={Evolutionary algorithms: A critical review and its future prospects},
  author={P. Vikhar},
  journal={2016 International Conference on Global Trends in Signal Processing, Information Computing and Communication (ICGTSPICC)},
  year={2016},
  pages={261-265}
}
  • P. Vikhar
  • Published 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.Expand Abstract
    Evolutionary Algorithms: A Critical Review and its Future Prospects
    • 13
    • PDF
    Quantum-Inspired Acromyrmex Evolutionary Algorithm
    • 4
    • Highly Influenced
    • PDF
    A New Index for Evolutionary Algorithms to Measure the Noise Level in Noisy Environments

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 21 REFERENCES
    Introduction to evolutionary algorithms
    • 298
    Evolutionary programming made faster
    • 2,819
    • PDF
    Evolutionary Algorithm Definition
    • 25
    • PDF
    Introduction to Evolutionary Algorithms
    • 9
    • PDF
    A theoretical assessment of solution quality in evolutionary algorithms for the knapsack problem
    • 13
    • PDF
    A Primary Theoretical Study on Decomposition-Based Multiobjective Evolutionary Algorithms
    • 17
    Improved differential evolution algorithms
    • 22