SLSL-QPSO: Quantum-behaved particle swarm optimization with short-lived swarm layers

SLSL-QPSO is a software that can find the optimal value of a function. It improves over the Quantum-behaved Particle Swarm Optimization (QPSO) algorithms by leveraging the concept of living and death as swarm layers like the parameter optimization in the Optimized PSO (OPSO) but without the super sw...

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Main Authors: Kang Liang, Zhang Xiukai, Oleg Krakhmalev
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:SoftwareX
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352711023002327
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author Kang Liang
Zhang Xiukai
Oleg Krakhmalev
author_facet Kang Liang
Zhang Xiukai
Oleg Krakhmalev
author_sort Kang Liang
collection DOAJ
description SLSL-QPSO is a software that can find the optimal value of a function. It improves over the Quantum-behaved Particle Swarm Optimization (QPSO) algorithms by leveraging the concept of living and death as swarm layers like the parameter optimization in the Optimized PSO (OPSO) but without the super swarm, the Lévy mutation, the scoped contradiction-expansion coefficient, and the selection of effective layers. Experimental results demonstrate that SLSL-QPSO has superior performance in finding better optimal than QPSO and several other variants thus providing a competitive solution to optimization problems.
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spelling doaj.art-92c047f0284d450d88a20748386410a92023-12-16T06:08:04ZengElsevierSoftwareX2352-71102023-12-0124101536SLSL-QPSO: Quantum-behaved particle swarm optimization with short-lived swarm layersKang Liang0Zhang Xiukai1Oleg Krakhmalev2Engineering Training and Innovation Education Center, Shanghai Polytechnic University, Shanghai 201209, China; Corresponding author.School of Computer and Information Engineering, Shanghai Polytechnic University, Shanghai 201209, ChinaDepartment of Data Analysis and Machine Learning, Financial University under the Government of the Russian Federation, Moscow, Russian Federation, 4th Veshnyakovsky Passage, 4, Moscow 109456, RussiaSLSL-QPSO is a software that can find the optimal value of a function. It improves over the Quantum-behaved Particle Swarm Optimization (QPSO) algorithms by leveraging the concept of living and death as swarm layers like the parameter optimization in the Optimized PSO (OPSO) but without the super swarm, the Lévy mutation, the scoped contradiction-expansion coefficient, and the selection of effective layers. Experimental results demonstrate that SLSL-QPSO has superior performance in finding better optimal than QPSO and several other variants thus providing a competitive solution to optimization problems.http://www.sciencedirect.com/science/article/pii/S2352711023002327OptimizationParticle swarm optimizationQuantum-behaved particle swarm optimization
spellingShingle Kang Liang
Zhang Xiukai
Oleg Krakhmalev
SLSL-QPSO: Quantum-behaved particle swarm optimization with short-lived swarm layers
SoftwareX
Optimization
Particle swarm optimization
Quantum-behaved particle swarm optimization
title SLSL-QPSO: Quantum-behaved particle swarm optimization with short-lived swarm layers
title_full SLSL-QPSO: Quantum-behaved particle swarm optimization with short-lived swarm layers
title_fullStr SLSL-QPSO: Quantum-behaved particle swarm optimization with short-lived swarm layers
title_full_unstemmed SLSL-QPSO: Quantum-behaved particle swarm optimization with short-lived swarm layers
title_short SLSL-QPSO: Quantum-behaved particle swarm optimization with short-lived swarm layers
title_sort slsl qpso quantum behaved particle swarm optimization with short lived swarm layers
topic Optimization
Particle swarm optimization
Quantum-behaved particle swarm optimization
url http://www.sciencedirect.com/science/article/pii/S2352711023002327
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