Adaptive Hybrid PSO-Embedded GA for neuroevolutionary training of multilayer perceptron controllers in VSC-based islanded microgrids

Adaptive Hybrid PSO-Embedded GA for neuroevolutionary training of multilayer perceptron controllers in VSC-based islanded microgrids

This paper introduces a novel hybrid optimization algorithm, Adaptive Hybrid PSO-Embedded GA (AHPEGA), which dynamically adapts to optimization performance by integrating Particle Swarm Optimization (PSO) and Genetic Algorithms (GA). The primary objective is to enhance the neuroevolutionary training...

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Bibliographic Details
Main Authors: Yared Bekele Beyene, Getachew Biru Worku, Lina Bertling Tjernberg
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Energy and AI
Subjects:
Power grid
Islanded microgrids
Hybrid optimization
Deep learning model design
PSO-embedded GA
Neuroevolutionary training
Online Access:http://www.sciencedirect.com/science/article/pii/S2666546825000837
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http://www.sciencedirect.com/science/article/pii/S2666546825000837

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