Improved Opposition-Based Particle Swarm Optimization Algorithm for Global Optimization

Improved Opposition-Based Particle Swarm Optimization Algorithm for Global Optimization

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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
Published: MDPI AG 2021-12-01
Series:Symmetry
Subjects:
pseudo-random sequences
Philox
Threefry
data classification
ANN
Online Access:https://www.mdpi.com/2073-8994/13/12/2280

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https://www.mdpi.com/2073-8994/13/12/2280

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