Refined Heuristic Swarm Intelligence Algorithm

  • I. I. Aina Department of Mathematics, University of Ilorin, Ilorin, Nigeria
  • C. N. Ejieji Department of Mathematics, University of Ilorin, Ilorin, Nigeria
Keywords: particle swarm optimization, refined heuristic intelligence swarm, metaheuristic algorithm

Abstract

In this paper, a new metaheuristic algorithm named refined heuristic intelligence swarm (RHIS) algorithm is developed from an existing particle swarm optimization (PSO) algorithm by introducing a disturbing term to the velocity of PSO and modifying the inertia weight, in which the comparison between the two algorithms is also addressed.

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References

Chiabwoot Ratanavilisagul and Boontee Kruatrachue, A modified particle swarm optimization with mutation and reposition, International Journal of Initiative Computing, Information and Control 10 (2014), 2127-2142.

Chunfeng Wang and Wenxin Song, A modified particle swarm optimization algorithm based on velocity updating mechanism, Ain Shams Engineering Journal 10 (2019), 847-866. https://doi.org/10.1016/j.asej.2019.02.006

J. H. Holland, Adaptation in Natural and Artificial Systems, University of Michigan Press, 1979.

J. Kennedy and R. Eberhart, Particle swarm optimization, IEEE International Conference on Neural Networks 4 (1999), 1942-1947.

Neculai Andrei, An unconstrained optimization test functions collection, Advanced Modeling and Optimization 10 (2008), 147-161.

Xueying Lv, Yitian Wang, Junyi Deng, Guanyu Zhang and Liu Zhang, Improved particle swarm optimization algorithm based on last-eliminated principle and enhanced information sharing, Computational Intelligence and Neuroscience 2018 (2018), Article ID 5025672. https://doi.org/10.1155/2018/5025672

Published
2020-09-30
How to Cite
Aina, I. I., & Ejieji, C. N. (2020). Refined Heuristic Swarm Intelligence Algorithm. Earthline Journal of Mathematical Sciences, 5(2), 267-275. https://doi.org/10.34198/ejms.5221.267275
Section
Articles