Particle Swarm Optimization With Probability Sequence for Global Optimization

Particle Swarm Optimization With Probability Sequence for Global Optimization

Particle Swarm Optimization (PSO) has been frequently employed to solve diversified optimization problems. Choosing initial placement for population plays an important role in meta-heuristic methods since they can significantly converge. In this study, probability distribution has been introduced to...

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Bibliographic Details
Main Authors: Hafiz Tayyab Rauf, Umar Shoaib, Muhammad Ikramullah Lali, Majed Alhaisoni, Muhammad Naeem Irfan, Muhammad Attique Khan
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Particle swarm optimization
Weibull distribution
neural networks
Online Access:https://ieeexplore.ieee.org/document/9117125/

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