Improved opposition-based particle swarm optimization algorithm for global optimization

Particle Swarm Optimization (PSO) has been widely used to solve various types of optimization problems. An efficient algorithm must have symmetry of information between participating entities. Enhancing algorithm efficiency relative to the symmetric concept is a critical challenge in the field of in...

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Bibliographic Details
Main Authors: Nafees Ul Hassan, Waqas Haider Bangyal, M. Sadiq Ali Khan, Kashif Nisar, Ag. Asri Ag. Ibrahim, Danda B. Rawat
Format: Article
Language:English
English
Published: MDPI AG 2021
Subjects:
Online Access:https://eprints.ums.edu.my/id/eprint/31852/1/Improved%20opposition-based%20particle%20swarm%20optimization%20algorithm%20for%20global%20optimization.ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/31852/2/Improved%20opposition-based%20particle%20swarm%20optimization%20algorithm%20for%20global%20optimization.pdf
https://eprints.ums.edu.my/id/eprint/31852/
https://www.mdpi.com/2073-8994/13/12/2280
https://doi.org/10.3390/sym13122280
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