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A niche particle swarm optimization-perks and perspectives

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.

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Official URL: http://dx.doi.org/10.1109/ICSET51301.2020.9265384

Abstract

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.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Artificial intelligence, Evolution-based optimization
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:92530
Deposited By: Widya Wahid
Deposited On:30 Sep 2021 15:14
Last Modified:30 Sep 2021 15:14

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