Reprint
2022 and 2023 Selected Papers from Algorithms Editorial Board Members
Edited by
April 2024
324 pages
- ISBN978-3-7258-0641-6 (Hardback)
- ISBN978-3-7258-0642-3 (PDF)
This book is a reprint of the Special Issue 2022 and 2023 Selected Papers from Algorithms Editorial Board Members that was published in
Computer Science & Mathematics
Summary
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.
Format
- Hardback
License
© 2024 by the authors; CC BY-NC-ND license
Keywords
asymmetric rendezvous on the line; markers; asymmetric speeds; cellular network management; network optimization; cellular network troubleshooting; data mining; unsupervised learning; supervised learning; self-healing networks; nonlinear systems; convergence order; iterative processes; stability analysis; optimization algorithms; inductive learning; parameter setting; neural network generalization; data abstraction; combinatorial optimization; scheduling; agricultural machinery; management; nonlinear model; artificial neural network; multi-layer perceptron; convolutional neural network; heavy-ion experiment; compressed baryonic matter experiment; quark–gluon plasma; data management; cloud computing; RESTful API; eye tracking; web portal; Grammatical Evolution; Multi-Genome; Evolvable Hardware; digital circuit design; Hardware Description Languages; SystemVerilog; combinational circuits; artificial neural network; multi-layer perceptron; Kalman filter particle finder; heavy-ion experiment; compressed baryonic matter experiment; warehouse operations; hybrid algorithms; simulation; reinforcement learning; optimization; data privacy; network data security; anonymization; degree-based anonymization; global optimization; evolutionary algorithms; genetic algorithm; differential evolution; sparrow search; bald eagle search; cryptocurrency; social media data; price prediction; trading recommendation; machine learning; deep learning; arborescences; precedence constraints; mixed integer linear programming; constraint programming; heart disease diagnosis; ensemble learning; feature selection; heuristics; metaheuristics; Pearson correlation coefficient (PCC); grey wolf optimizer (GWO); time series; clustering; Dynamic Time Warping; sparse Gaussian processes; n/a