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High Precision Particle Swarm Optimization Algorithm (HiPPSO) Cover

High Precision Particle Swarm Optimization Algorithm (HiPPSO)

By: Alexander Raß  
Open Access
|Mar 2020

References

  1. Eberhart, R C and Kennedy, J 1995 A new optimizer using particle swarm theory. In: Proc. 6th International Symposium on Micro Machine and Human Science, 3943. DOI: 10.1109/MHS.1995.494215
  2. Kennedy, J and Eberhart, R C 1995 Particle swarm optimization. In: Proc. IEEE International Conference on Neural Networks, 4: 19421948. DOI: 10.1109/ICNN.1995.488968
  3. Schmitt, M and Wanka, R 2015 Particle Swarm Optimization Almost Surely Finds Local Optima. In: Theoretical Computer Science, 561A: 5772. DOI: 10.1016/j.tcs.2014.05.017
  4. Raß, A, Schmitt, M and Wanka, R 2015 Explanation of Stagnation at Points that are not Local Optima in Particle Swarm Optimization by Potential Analysis. In: Proc. 17th Genetic and Evolutionary Computation Conference (GECCO), 14631464. DOI: 10.1145/2739482.2764654
  5. Trelea, I 2003 The particle swarm optimization algorithm: Convergence analysis and parameter selection. In: Information Processing Letters, 317325. DOI: 10.1016/S0020-0190(02)00447-7
DOI: https://doi.org/10.5334/jors.282 | Journal eISSN: 2049-9647
Language: English
Submitted on: Jun 12, 2019
Accepted on: Feb 18, 2020
Published on: Mar 9, 2020
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2020 Alexander Raß, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.