Shape matching optimization using atomic potential functions and artificial bee colony algorithm
Codes for Shape matching based on an optimization framework
Ahora está siguiendo esta publicación
- Verá actualizaciones en las notificaciones de contenido en seguimiento.
- Podrá recibir correos electrónicos, en función de las preferencias de comunicación que haya establecido.
Shape matching optimization using atomic potential functions and artificial bee colony algorithm.
The codes include (1) an optimization solver; (2) the optimization objectives and (3) powerful tools to plot the optimization results. Users should cite the following articles in honor of these utilized matlab codes:
(1) Bai Li and Yuan Yao, "An Edge-based Optimization Method for Shape Recognition Using Atomic Potential Function", Engineering Applications of Artificial Intelligence, no. 35, pp. 14–25, 2014.
(2) Bai Li, Raymond Chiong and Mu Lin, "A Balance-Evolution Artificial Bee Colony Algorithm for Protein Structure Optimization Based on a Three-dimensional AB Off-Lattice Model", Computational Biology and Chemistry, no. 54, pp. 1–12, 2015.
Citar como
Li Bai (2026). Shape matching optimization using atomic potential functions and artificial bee colony algorithm (https://es.mathworks.com/matlabcentral/fileexchange/52980-shape-matching-optimization-using-atomic-potential-functions-and-artificial-bee-colony-algorithm), MATLAB Central File Exchange. Recuperado .
Información general
- Versión 3.1.0.0 (1,14 MB)
Compatibilidad con la versión de MATLAB
- Compatible con cualquier versión
Compatibilidad con las plataformas
- Windows
- macOS
- Linux
