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A niche particle swarm optimization-perks and perspectives

Optimization is a method for searching the best candidate solution to lessen or expand the value of the objective problem. Broadly speaking algorithms can be orgabized into four main classes, i.e. biology-based algorithms, physics-based algorithms, sociology-based algorithms, and human intelligence-...

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Main Authors: Ahmad Arfeen, Zeeshan, Abdullah, Md. Pauzi, Shehzad, Muhammad Faisal, Altbawi, Saleh, Jiskani, Muhammad Ashafaq Khan, YiRan, Muhammad Asif Imran
Format: Conference or Workshop Item
Language:English
Published: 2020
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/92530/1/MdPauziAbdullah2020_ANicheParticleSwarmOptimizationPerksandPerspectives.pdf
http://eprints.utm.my/id/eprint/92530/
http://dx.doi.org/10.1109/ICSET51301.2020.9265384
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id my.utm.92530
record_format eprints
spelling my.utm.925302021-09-30T15:14:33Z http://eprints.utm.my/id/eprint/92530/ A niche particle swarm optimization-perks and perspectives Ahmad Arfeen, Zeeshan Abdullah, Md. Pauzi Shehzad, Muhammad Faisal Altbawi, Saleh Jiskani, Muhammad Ashafaq Khan YiRan, Muhammad Asif Imran TK Electrical engineering. Electronics Nuclear engineering Optimization is a method for searching the best candidate solution to lessen or expand the value of the objective problem. Broadly speaking algorithms can be orgabized into four main classes, i.e. biology-based algorithms, physics-based algorithms, sociology-based algorithms, and human intelligence-based algorithms. Swarm-intelligence (SI) based algorithms appeared as a commanding family of optimization techniques. The paper aims to commence a brief review of meta-heuristic algorithms especially Particle swarm optimization (PSO) and its sister variants in short. The understudy paper covers all important aspects of swarm intelligence PSO with deep insight learning for practitioners and scholars. 2020 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/92530/1/MdPauziAbdullah2020_ANicheParticleSwarmOptimizationPerksandPerspectives.pdf Ahmad Arfeen, Zeeshan and Abdullah, Md. Pauzi and Shehzad, Muhammad Faisal and Altbawi, Saleh and Jiskani, Muhammad Ashafaq Khan and YiRan, Muhammad Asif Imran (2020) A niche particle swarm optimization-perks and perspectives. In: 10th IEEE International Conference on System Engineering and Technology, ICSET 2020, 9 November 2020, Shah Alam, Malaysia. http://dx.doi.org/10.1109/ICSET51301.2020.9265384
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Ahmad Arfeen, Zeeshan
Abdullah, Md. Pauzi
Shehzad, Muhammad Faisal
Altbawi, Saleh
Jiskani, Muhammad Ashafaq Khan
YiRan, Muhammad Asif Imran
A niche particle swarm optimization-perks and perspectives
description Optimization is a method for searching the best candidate solution to lessen or expand the value of the objective problem. Broadly speaking algorithms can be orgabized into four main classes, i.e. biology-based algorithms, physics-based algorithms, sociology-based algorithms, and human intelligence-based algorithms. Swarm-intelligence (SI) based algorithms appeared as a commanding family of optimization techniques. The paper aims to commence a brief review of meta-heuristic algorithms especially Particle swarm optimization (PSO) and its sister variants in short. The understudy paper covers all important aspects of swarm intelligence PSO with deep insight learning for practitioners and scholars.
format Conference or Workshop Item
author Ahmad Arfeen, Zeeshan
Abdullah, Md. Pauzi
Shehzad, Muhammad Faisal
Altbawi, Saleh
Jiskani, Muhammad Ashafaq Khan
YiRan, Muhammad Asif Imran
author_facet Ahmad Arfeen, Zeeshan
Abdullah, Md. Pauzi
Shehzad, Muhammad Faisal
Altbawi, Saleh
Jiskani, Muhammad Ashafaq Khan
YiRan, Muhammad Asif Imran
author_sort Ahmad Arfeen, Zeeshan
title A niche particle swarm optimization-perks and perspectives
title_short A niche particle swarm optimization-perks and perspectives
title_full A niche particle swarm optimization-perks and perspectives
title_fullStr A niche particle swarm optimization-perks and perspectives
title_full_unstemmed A niche particle swarm optimization-perks and perspectives
title_sort niche particle swarm optimization-perks and perspectives
publishDate 2020
url http://eprints.utm.my/id/eprint/92530/1/MdPauziAbdullah2020_ANicheParticleSwarmOptimizationPerksandPerspectives.pdf
http://eprints.utm.my/id/eprint/92530/
http://dx.doi.org/10.1109/ICSET51301.2020.9265384
_version_ 1713199745403453440
score 13.251813

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