Corpus ID: 218571182

Swarm Programming Using Moth-Flame Optimization and Whale Optimization Algorithms

@article{Si2020SwarmPU,
  title={Swarm Programming Using Moth-Flame Optimization and Whale Optimization Algorithms},
  author={Tapas Si},
  journal={ArXiv},
  year={2020},
  volume={abs/2005.04151}
}
  • Tapas Si
  • Published 2020
  • Computer Science
  • ArXiv
  • Automatic programming (AP) is an important area of Machine Learning (ML) where computer programs are generated automatically. Swarm Programming (SP), a newly emerging research area in AP, automatically generates the computer programs using Swarm Intelligence (SI) algorithms. This paper presents two grammar-based SP methods named as Grammatical Moth-Flame Optimizer (GMFO) and Grammatical Whale Optimizer (GWO). The Moth-Flame Optimizer and Whale Optimization algorithm are used as search engines… CONTINUE READING

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 27 REFERENCES
    Artificial bee colony programming for symbolic regression
    152
    GSP: an automatic programming technique with gravitational search algorithm
    10
    Grammatical Evolution Using Fireworks Algorithm
    2
    Swarm-based metaheuristics in automatic programming: a survey
    10
    Grammatical Swarm: The generation of programs by social programming
    87
    Grammatical Swarm: A Variable-Length Particle Swarm Algorithm
    18
    The Whale Optimization Algorithm
    1639
    Ant system: optimization by a colony of cooperating agents
    10009
    GSA: A Gravitational Search Algorithm
    3337