Hybrid Algorithm of Particle Swarm Optimization and Grey Wolf Optimizer for Improving Convergence Performance

@article{Singh2017HybridAO,
  title={Hybrid Algorithm of Particle Swarm Optimization and Grey Wolf Optimizer for Improving Convergence Performance},
  author={Narinder Singh and S. B. Singh},
  journal={J. Applied Mathematics},
  year={2017},
  volume={2017},
  pages={2030489:1-2030489:15}
}
A newly hybrid nature inspired algorithm called HPSOGWO is presented with the combination of Particle Swarm Optimization (PSO) and Grey Wolf Optimizer (GWO). The main idea is to improve the ability of exploitation in Particle Swarm Optimization with the ability of exploration in Grey Wolf Optimizer to produce both variants’ strength. Some unimodal, multimodal, and fixeddimensionmultimodal test functions are used to check the solution quality and performance of HPSOGWOvariant.The numerical and… CONTINUE READING

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