Shape matching optimization using atomic potential functions and artificial bee colony algorithm

Version 3.1.0.0 (1.14 MB) by Li Bai
Codes for Shape matching based on an optimization framework
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Updated 26 Oct 2015

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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.

Cite As

Li Bai (2026). Shape matching optimization using atomic potential functions and artificial bee colony algorithm (https://se.mathworks.com/matlabcentral/fileexchange/52980-shape-matching-optimization-using-atomic-potential-functions-and-artificial-bee-colony-algorithm), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2011b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
3.1.0.0

No special requirements needed.
3.0.9.0