Genetic Algorithms in Applications

@inproceedings{Popa2012GeneticAI,
  title={Genetic Algorithms in Applications},
  author={R. Popa},
  year={2012}
}
  • R. Popa
  • Published 2012
  • Computer Science
  • 15 Citations
    A Simplified and Efficient Gravitational Search Algorithm for Unconstrained Optimization Problems
    • X. Zhang, Dexuan Zou, X. Shen
    • Computer Science
    • 2017 International Conference on Vision, Image and Signal Processing (ICVISP)
    • 2017
    • 1
    An Improved genetic algorithm for the design of a fuzzy supervisory controller for a PH neutralization process
    • 1
    Analysis of statement branch and loop coverage in software testing with genetic algorithm
    • 6

    References

    SHOWING 1-10 OF 67 REFERENCES
    Peichao; "Using an enhanced genetic algorithm to solve the unit commitment problem
    • IEEE International Conference on Intelligent Processing Systems, ICIPS ‘97,
    • 1997
    Genetic Algorithms in Search
    • 12,391
    • Highly Influential
    A new genetic algorithm with Lamarckian individual learning for generation scheduling
    • 45
    • Highly Influential
    • PDF
    A parallel repair genetic algorithm to solve the unit commitment problem
    • J. Arroyo, A. Conejo
    • Mathematics
    • 2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491)
    • 2003
    • 61
    • Highly Influential
    A unit commitment problem by using genetic algorithm based on unit characteristic classification
    • 144
    • Highly Influential
    Cooperative Coevolutionary Algorithm for Unit Commitment
    • 59
    • Highly Influential
    Unit commitment solution methodology using genetic algorithm
    • IEEE Transactions on Power Systems,
    • 2002
    A profit-based unit commitment GA for the competitive environment
    • 198
    • Highly Influential
    An approach to solve the unit commitment problem using genetic algorithm
    • 10
    • Highly Influential
    Applications of artificial neural networks in electric power systems operational planning
    • 7
    • Highly Influential