Adaptive Particle Swarm Optimization with Landscape Learning for Global Optimization and Feature Selection

Adaptive Particle Swarm Optimization with Landscape Learning for Global Optimization and Feature Selection

Particle swarm optimization (PSO), an important solving method in the field of swarm intelligence, is recognized as one of the most effective metaheuristics for addressing optimization problems. Many adaptive strategies have been developed to improve the performance of PSO. Despite these advances, a...

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Bibliographic Details
Main Authors: Khalil Abbal, Mohammed El-Amrani, Oussama Aoun, Youssef Benadada
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Modelling
Subjects:
particle swarm optimization
metaheuristics
fitness landscape analysis
adaptive algorithms
machine learning
feature selection
Online Access:https://www.mdpi.com/2673-3951/6/1/9
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