Refined Heuristic Swarm Intelligence Algorithm
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.
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
This work is licensed under a Creative Commons Attribution 4.0 International License.