Population topologies for particle swarm optimization and differential evolution

Over the last few decades, many population-based swarm and evolutionary algorithms were introduced in the literature. It is well known that population topology or sociometry plays an important role in improving the performance of population-based optimization algorithms by enhancing population diver...

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Main Authors: Lynn, Nandar, Mostafa Z. Ali, Suganthan, Ponnuthurai Nagaratnam
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2020
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Online Access:https://hdl.handle.net/10356/138554
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1385542020-05-08T04:27:33Z Population topologies for particle swarm optimization and differential evolution Lynn, Nandar Mostafa Z. Ali Suganthan, Ponnuthurai Nagaratnam School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Particle Swarm Optimization Differential Evolution Over the last few decades, many population-based swarm and evolutionary algorithms were introduced in the literature. It is well known that population topology or sociometry plays an important role in improving the performance of population-based optimization algorithms by enhancing population diversity when solving multiobjective and multimodal problems. Many population structures and population topologies were developed for particle swarm optimization and differential evolutionary algorithms. Therefore, a comprehensive review of population topologies developed for PSO and DE is carried out in this paper. We anticipate that this survey will inspire researchers to integrate the population topologies into other nature inspired algorithms and to develop novel population topologies for improving the performances of population-based optimization algorithms for solving single objective optimization, multiobjective optimization and other classes of optimization problems. 2020-05-08T04:27:33Z 2020-05-08T04:27:33Z 2017 Journal Article Lynn, N., Mostafa Z. Ali, & Suganthan, P. N. (2018). Population topologies for particle swarm optimization and differential evolution. Swarm and Evolutionary Computation, 39, 24-35. doi:10.1016/j.swevo.2017.11.002 2210-6502 https://hdl.handle.net/10356/138554 10.1016/j.swevo.2017.11.002 2-s2.0-85034605668 39 24 35 en Swarm and Evolutionary Computation © 2017 Elsevier B.V. All rights reserved.
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
Particle Swarm Optimization
Differential Evolution
spellingShingle Engineering::Electrical and electronic engineering
Particle Swarm Optimization
Differential Evolution
Lynn, Nandar
Mostafa Z. Ali
Suganthan, Ponnuthurai Nagaratnam
Population topologies for particle swarm optimization and differential evolution
description Over the last few decades, many population-based swarm and evolutionary algorithms were introduced in the literature. It is well known that population topology or sociometry plays an important role in improving the performance of population-based optimization algorithms by enhancing population diversity when solving multiobjective and multimodal problems. Many population structures and population topologies were developed for particle swarm optimization and differential evolutionary algorithms. Therefore, a comprehensive review of population topologies developed for PSO and DE is carried out in this paper. We anticipate that this survey will inspire researchers to integrate the population topologies into other nature inspired algorithms and to develop novel population topologies for improving the performances of population-based optimization algorithms for solving single objective optimization, multiobjective optimization and other classes of optimization problems.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Lynn, Nandar
Mostafa Z. Ali
Suganthan, Ponnuthurai Nagaratnam
format Article
author Lynn, Nandar
Mostafa Z. Ali
Suganthan, Ponnuthurai Nagaratnam
author_sort Lynn, Nandar
title Population topologies for particle swarm optimization and differential evolution
title_short Population topologies for particle swarm optimization and differential evolution
title_full Population topologies for particle swarm optimization and differential evolution
title_fullStr Population topologies for particle swarm optimization and differential evolution
title_full_unstemmed Population topologies for particle swarm optimization and differential evolution
title_sort population topologies for particle swarm optimization and differential evolution
publishDate 2020
url https://hdl.handle.net/10356/138554
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