Non-systematic weighted random satisfiability in discrete Hopfield neural network using binary NAND - artificial bee colony
Siti Syatirah Muhammad Sidik, Nur Ezlin Zamri, Mohd Shareduwan Mohd Kasihmuddin, Siti Zulaikha Mohd Jamaludin, Mohd. Asyraf Mansor · AIP conference proceedings · 2024
In a binary Artificial Bee Colony, the exploration mechanism occurs in the nectar equation where it improvises the search space to obtain an optimal solution rapidly.However, there is much uncertainty about which parameter operates well in optimizing discrete problems.In this study, the focus is the modification of nectars by replacing the NAND logic gate in binary ABC called nand-ABC.The proposed model will be integrated into the logic stage to generate Weighted Random k Satisfiability for k = 1, 2 that takes into account the higher ratio of negative literals in the logic.The proposed model's performance will be compared to a binary ABC variant that used the AND bitwise operator in the nectar.The comparison and experimental findings demonstrate that the suggested model is successful in generating negative literal in logic.