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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2020
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| 在线阅读: | 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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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 |
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TK Electrical engineering. Electronics Nuclear engineering |
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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 |
13.250246 |