Soft Actor-Critic Approach to Self-Adaptive Particle Swarm Optimisation

Soft Actor-Critic Approach to Self-Adaptive Particle Swarm Optimisation

Particle swarm optimisation (PSO) is a swarm intelligence algorithm that finds candidate solutions by iteratively updating the positions of particles in a swarm. The decentralised optimisation methodology of PSO is ideally suited to problems with multiple local minima and deceptive fitness landscape...

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Bibliographic Details
Main Authors: Daniel von Eschwege, Andries Engelbrecht
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Mathematics
Subjects:
particle swarm optimisation
reinforcement learning
soft actor-critic
self-adaptive
swarm intelligence
Online Access:https://www.mdpi.com/2227-7390/12/22/3481

Internet

https://www.mdpi.com/2227-7390/12/22/3481

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