A Knowledge-Based Hybrid Approach on Particle Swarm Optimization Using Hidden Markov Models

A Knowledge-Based Hybrid Approach on Particle Swarm Optimization Using Hidden Markov Models

Bio-inspired computing is an engaging area of artificial intelligence which studies how natural phenomena provide a rich source of inspiration in the design of smart procedures able to become powerful algorithms. Many of these procedures have been successfully used in classification, prediction, and...

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Bibliographic Details
Main Authors: Mauricio Castillo, Ricardo Soto, Broderick Crawford, Carlos Castro, Rodrigo Olivares
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Mathematics
Subjects:
swarm intelligence method
parameter control
adaptive technique
hidden Markov model
Online Access:https://www.mdpi.com/2227-7390/9/12/1417

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