Conference proceeding
MHPSO: A new method to enhance the Particle Swarm Optimizer
2011 Sixth International Conference on Digital Information Management, pp.305-309
International Conference on Digital Information Management (ICDIM), 6 (Melbourne, Australia, 26/09/2011–28/09/2011)
09/2011
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Abstract
The widespread and increasing application of Particle Swarm Optimizer (PSO) algorithms in both theoretical and practical fields leads to further considerations and new developments for improving its efficiency. To achieve this purpose in this paper a new method is introduced to enhance the convergence rate and reduce the computational time of PSO by combining the PSO including mutation concept (MPSO) and the Hierarchical Particle Swarm Optimizer (HPSO). Therefore the new approach is called MHPSO: a composition of MPSO and HPSO which act simultaneously in the optimization process. In addition some benchmark examples are analyzed using the presented method; consequently, the results are compared to other procedures which illustrate better outcomes and high performance of MHPSO.
Details
- Title
- MHPSO: A new method to enhance the Particle Swarm Optimizer
- Creators
- Bafrin Zarei - Islamic Azad University of TabrizReza Ghanbarzadeh - Southern Cross University, Faculty of Science and EngineeringPoorya Khodabande - Islamic Azad University of TabrizHadi Toofani - Islamic Azad University of Tabriz
- Publication Details
- 2011 Sixth International Conference on Digital Information Management, pp.305-309
- Conference
- International Conference on Digital Information Management (ICDIM), 6 (Melbourne, Australia, 26/09/2011–28/09/2011)
- Publisher
- IEEE
- Number of pages
- 5
- Identifiers
- 991013299427902368
- Copyright
- © Copyright 2025 IEEE - All rights reserved, including rights for text and data mining and training of artificial intelligence and similar technologies.
- Academic Unit
- Faculty of Science and Engineering
- Language
- English
- Resource Type
- Conference proceeding