A Novel Multi-Objective Hybrid Election Algorithm for Higher-Order Random Satisfiability in Discrete Hopfield Neural Network

A Novel Multi-Objective Hybrid Election Algorithm for Higher-Order Random Satisfiability in Discrete Hopfield Neural Network

Hybridized algorithms are commonly employed to improve the performance of any existing method. However, an optimal learning algorithm composed of evolutionary and swarm intelligence can radically improve the quality of the final neuron states and has not received creative attention yet. Considering...

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Bibliographic Details
Main Authors: Syed Anayet Karim, Mohd Shareduwan Mohd Kasihmuddin, Saratha Sathasivam, Mohd. Asyraf Mansor, Siti Zulaikha Mohd Jamaludin, Md Rabiol Amin
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Mathematics
Subjects:
hybridized algorithm
evolutionary algorithm
hybrid election algorithm
random <i>k</i> satisfiability
election algorithm
Discrete Hopfield Neural Network
Online Access:https://www.mdpi.com/2227-7390/10/12/1963

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https://www.mdpi.com/2227-7390/10/12/1963

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