Dual optimization approach in discrete Hopfield neural network
Having effective learning and retrieval phases of satisfiability logic in Discrete Hopfield
Neural Network models ensures optimal synaptic weight management, which consequently …
Neural Network models ensures optimal synaptic weight management, which consequently …
An Innovative Application of Swarm‐Based Algorithms for Peer Clustering
V Šešum-Čavić, E Kühn, L Toifl - International Journal of …, 2024 - Wiley Online Library
In most peer‐to‐peer (P2P) networks, peers are placed randomly or based on their
geographical position, which can lead to a performance bottleneck. This problem can be …
geographical position, which can lead to a performance bottleneck. This problem can be …
High-order rotor Hopfield neural networks for associative memory
B Chen, H Zhang - Neurocomputing, 2025 - Elsevier
Multistate associative memory models have shown a remarkable ability to remember non-
binary data in recent years, including the complex-valued Hopfield neural networks …
binary data in recent years, including the complex-valued Hopfield neural networks …
[HTML][HTML] A Hybrid Genetic Algorithm with Tabu Search Using a Layered Process for High-Order QAM in MIMO Detection
T Kim, G Kong - Mathematics, 2024 - mdpi.com
In this paper, we propose a hybrid genetic algorithm (HGA) that embeds the tabu search
mechanism into the genetic algorithm (GA) for multiple-input multiple-output (MIMO) …
mechanism into the genetic algorithm (GA) for multiple-input multiple-output (MIMO) …
[PDF][PDF] HYBRID HENRY GAS-HARRIS HAWKS MODIFIED-OPPOSITION ALGORITHM FOR TASK SCHEDULING IN CLOUD COMPUTING
NO ALKAAM, ABUBMD SULTAN, M HUSSIN… - Journal of Theoretical …, 2024 - jatit.org
Objectives: Cloud computing environments allow users to remotely access computational
resources and data computing services online. Task scheduling requires the development of …
resources and data computing services online. Task scheduling requires the development of …