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The Improvement of V-Shaped Transfer Function of Binary Particle Swarm Optimization
Binary Particle Swarm Optimization (BPSO) is a swarm intelligence to optimize discrete space problems by extending the Particle Swarm Optimization. Its transfer function is the key element of BPSO. In this paper, a new V-shaped transfer function with a parameter k has been proposed. The parameter k...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7354832/ http://dx.doi.org/10.1007/978-3-030-53956-6_18 |
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author | Zhang, Dong-Yang Liu, Jian-Hua Jiang, Lei Bu, Guan-Nan Hu, Ren-Yuan Luo, Yi-Xuan |
author_facet | Zhang, Dong-Yang Liu, Jian-Hua Jiang, Lei Bu, Guan-Nan Hu, Ren-Yuan Luo, Yi-Xuan |
author_sort | Zhang, Dong-Yang |
collection | PubMed |
description | Binary Particle Swarm Optimization (BPSO) is a swarm intelligence to optimize discrete space problems by extending the Particle Swarm Optimization. Its transfer function is the key element of BPSO. In this paper, a new V-shaped transfer function with a parameter k has been proposed. The parameter k was used to control the opening size of the transfer function. At first, the setting of the parameter k has been obtained by the experiments, and then the new V-shaped transfer with the optimal k value is compared with the other kinds of the V-shaped transfer functions by the experiment of feature selection. The results have indicated that the new V-shaped transfer function improved the performance of Binary Particle Swarm Optimization. |
format | Online Article Text |
id | pubmed-7354832 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-73548322020-07-13 The Improvement of V-Shaped Transfer Function of Binary Particle Swarm Optimization Zhang, Dong-Yang Liu, Jian-Hua Jiang, Lei Bu, Guan-Nan Hu, Ren-Yuan Luo, Yi-Xuan Advances in Swarm Intelligence Article Binary Particle Swarm Optimization (BPSO) is a swarm intelligence to optimize discrete space problems by extending the Particle Swarm Optimization. Its transfer function is the key element of BPSO. In this paper, a new V-shaped transfer function with a parameter k has been proposed. The parameter k was used to control the opening size of the transfer function. At first, the setting of the parameter k has been obtained by the experiments, and then the new V-shaped transfer with the optimal k value is compared with the other kinds of the V-shaped transfer functions by the experiment of feature selection. The results have indicated that the new V-shaped transfer function improved the performance of Binary Particle Swarm Optimization. 2020-06-22 /pmc/articles/PMC7354832/ http://dx.doi.org/10.1007/978-3-030-53956-6_18 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Zhang, Dong-Yang Liu, Jian-Hua Jiang, Lei Bu, Guan-Nan Hu, Ren-Yuan Luo, Yi-Xuan The Improvement of V-Shaped Transfer Function of Binary Particle Swarm Optimization |
title | The Improvement of V-Shaped Transfer Function of Binary Particle Swarm Optimization |
title_full | The Improvement of V-Shaped Transfer Function of Binary Particle Swarm Optimization |
title_fullStr | The Improvement of V-Shaped Transfer Function of Binary Particle Swarm Optimization |
title_full_unstemmed | The Improvement of V-Shaped Transfer Function of Binary Particle Swarm Optimization |
title_short | The Improvement of V-Shaped Transfer Function of Binary Particle Swarm Optimization |
title_sort | improvement of v-shaped transfer function of binary particle swarm optimization |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7354832/ http://dx.doi.org/10.1007/978-3-030-53956-6_18 |
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