Abstract
In this paper, the hypersphere universe method is applied on Heterogeneous Comprehensive Learning Particle Swarm Optimization (HCLPSO) and a classical representative of swarm intelligence Particle Swarm Optimization (PSO). The goal is to the compare this method to the classical version of these algorithms. The comparisons are made on CEC’17 benchmark set functions. The experiments were carried out according to CEC benchmark rules and statistically evaluated using Friedman rank test.
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Kadavy, T., Pluhacek, M., Viktorin, A., & Senkerik, R. (2017). Hypersphere universe boundary method comparison on hclpso and PSO. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10334 LNCS, pp. 173–182). Springer Verlag. https://doi.org/10.1007/978-3-319-59650-1_15
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