A recent study introduces an advanced anomaly-based intrusion detection system (IDS) designed to address the increasing cyber threats targeting ...

Various advanced optimization methods, including genetic algorithm, particle swarm optimization, artificial bee colony optimization, and teaching-learning-based optimization, are used to determine the ...

including genetic algorithm, differential evolution, particle swarm optimization, memetic algorithm, estimation of distribution algorithm, and surrogate model based algorithm. Most of them are ...

However, our research extends this framework by integrating the predictive model with a particle swarm optimization stage. This second stage identifies the optimal operational parameters that can be ...

However, the integration of optimization algorithms and computer software has significantly reduced the research and development cycle. The internal structure of traditional straight-beam-rib wings is ...

In this study, seven phases of complete stand-walk-stand cycle as well as continuous daily walking were recognized based on muscle synergy and PSO-CNN-LSTM model. Firstly, the complete ...

Given the inherent non-convexity of the problem, we develop two meta-heuristic-based approaches inspired by genetic algorithm and particle swarm optimization to enhance the total achievable rate while ...

Aiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California San Diego, La Jolla, California 92093 , United States Department of Chemistry and Biochemistry, University ...

Penman-Monteith; hyperparameter tuning; Genetic Algorithms (GAs); grid search; random search In Brazil, water crises have exposed the importance of water management in various sectors, particularly ...

Clustering algorithms are at the basis of several technological applications, and are fueling the development of rapidly evolving fields such as machine learning. In the recent past, however, it has ...