2022 and 2023 Selected Papers from Algorithms Editorial Board Members

• Format: eBook Book
• Language: English
• Published: MDPI - Multidisciplinary Digital Publishing Institute 2024
• Subjects: agricultural machinery; anonymization; arborescences; artificial neural network; asymmetric rendezvous on the line; asymmetric speeds; bald eagle search; cellular network management; cellular network troubleshooting; cloud computing; clustering; combinational circuits; combinatorial optimization; compressed baryonic matter experiment; Computer science; Computing and Information Technology; constraint programming; convergence order; convolutional neural network; cryptocurrency; data abstraction; data management; data mining; data privacy; deep learning; degree-based anonymization; differential evolution; digital circuit design; Dynamic Time Warping; ensemble learning; evolutionary algorithms; Evolvable Hardware; eye tracking; feature selection; genetic algorithm; global optimization; Grammatical Evolution; grey wolf optimizer (GWO); Hardware Description Languages; heart disease diagnosis; heavy-ion experiment; heuristics; hybrid algorithms; inductive learning; iterative processes; Kalman filter particle finder; machine learning; management; markers; metaheuristics; mixed integer linear programming; Multi-Genome; multi-layer perceptron; n/a; network data security; network optimization; neural network generalization; nonlinear model; nonlinear systems; optimization; optimization algorithms; parameter setting; Pearson correlation coefficient (PCC); precedence constraints; price prediction; quark–gluon plasma; reinforcement learning; RESTful API; scheduling; self-healing networks; simulation; social media data; sparrow search; sparse Gaussian processes; stability analysis; supervised learning; SystemVerilog; time series; trading recommendation; unsupervised learning; warehouse operations; web portal
• ISBN: 9783725806416; 3725806411; 372580642X; 9783725806423
• DOI: 10.3390/books978-3-7258-0642-3

This preprint of a special issue of the journal Algorithms presents recent research papers submitted by the Editorial Board members of the journal. The subjects addressed in the 16 research papers cover a broad spectrum in the area of the development of algorithms, e.g. papers dealing with neural networks, machine learning or deep learning approaches or new metaheuristic algorithms.