Multi-discrete genetic algorithm in hopfield neural network with weighted random k satisfiability
Authors:
- Nur Ezlin ZamriNZNur Ezlin Zamri
- Siti Aishah AzharSASiti Aishah Azhar
- Siti Syatirah Muhammad SidikSiti Syatirah Muhammad Sidik
- Mohd Asyraf MansorMMMohd Asyraf Mansor
- Mohd Shareduwan Mohd KasihmuddinMKMohd Shareduwan Mohd Kasihmuddin
- Siti Pateema Azeyan PakruddinSPSiti Pateema Azeyan Pakruddin
- Nurul Atirah PauziNPNurul Atirah Pauzi
- Siti Nurhidayah Mat NawiSNSiti Nurhidayah Mat Nawi
- 5 July 2022
- journal article
- research article
- Published by Springer Nature in Neural Computing and Applications
- Vol. 34 (21) , 19283-19311
Abstract
No abstract availableKeywords
This publication has 59 references indexed in Scilit:
- Weighted logics for artificial intelligence – an introductory discussionInternational Journal of Approximate Reasoning, 2014
- Grey Wolf OptimizerAdvances in Engineering Software, 2014
- Data reductions, fixed parameter tractability, and random weighted d-CNF satisfiabilityArtificial Intelligence, 2009
- A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithmJournal of Global Optimization, 2007
- Hopfield neural networks for optimization: study of the different dynamicsNeurocomputing, 2002
- No free lunch theorems for optimizationIEEE Transactions on Evolutionary Computation, 1997
- Logic programming on a neural networkInternational Journal of Intelligent Systems, 1992
- A generalized convergence theorem for neural networksIEEE Transactions on Information Theory, 1988
- Metric and Euclidean properties of dissimilarity coefficientsJournal of Classification, 1986
- The complexity of theorem-proving procedures1971