MTS-PRO2SAT: Hybrid Mutation Tabu Search Algorithm in Optimizing Probabilistic 2 Satisfiability in Discrete Hopfield Neural Network

MTS-PRO2SAT: Hybrid Mutation Tabu Search Algorithm in Optimizing Probabilistic 2 Satisfiability in Discrete Hopfield Neural Network

The primary objective of introducing metaheuristic algorithms into traditional systematic logic is to minimize the cost function. However, there is a lack of research on the impact of introducing metaheuristic algorithms on the cost function under different proportions of positive literals. In order...

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Bibliographic Details
Main Authors: Ju Chen, Yuan Gao, Mohd Shareduwan Mohd Kasihmuddin, Chengfeng Zheng, Nurul Atiqah Romli, Mohd. Asyraf Mansor, Nur Ezlin Zamri, Chuanbiao When
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Mathematics
Subjects:
artificial neural networks
mutation tabu search
satisfiability logic
metaheuristics
Online Access:https://www.mdpi.com/2227-7390/12/5/721

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https://www.mdpi.com/2227-7390/12/5/721

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