PSO-LFDE Algorithm on Constrained Real-Parameter Optimisation Test Functions
This paper introduces a new version of the particle swarm optimisation (PSO) algorithm particle swarm optimisation with Lévy Flight and the Doppler Effect (PSO-LFDE), maintaining an optimal balance between the exploration and exploitation phases of the optimisation process. The proposed algorithm wi...
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| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Springer Singapore
2023
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/38856/1/PSO-LFDE%20Algorithm%20on%20Constrained%20Real-Parameter.pdf http://umpir.ump.edu.my/id/eprint/38856/2/PSO-LFDE%20Algorithm%20on%20Constrained%20Real-Parameter%20Optimisation%20Test%20Functions.pdf http://umpir.ump.edu.my/id/eprint/38856/ https://doi.org/10.1007/978-981-99-1245-2_52 |
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| Summary: | This paper introduces a new version of the particle swarm optimisation (PSO) algorithm particle swarm optimisation with Lévy Flight and the Doppler Effect (PSO-LFDE), maintaining an optimal balance between the exploration and exploitation phases of the optimisation process. The proposed algorithm will hold a better exploration–exploitation equilibrium if the contributions of convergence and diversity and global and individual bests in attracting particles are maintained in balance. The proposed PSO-LFDE algorithm is compared with the PSO algorithm by Gaing on single-objective constrained real-parameter optimisation test functions. The results indicated that the PSO-LFDE has achieved competitive results on the single-objective constrained real-parameter optimisation test functions as compared to PSO algorithm by Gaing. Thus, the PSO-LFDE is validated as a stable, well-designed algorithm and can be a functional alternative approach to deal with various single-objective constrained real-parameter optimisation problems. |
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