Shape matching optimization using atomic potential functions and artificial bee colony algorithm
Codes for Shape matching based on an optimization framework
이 제출물을 팔로우합니다
- 팔로우하는 게시물 피드에서 업데이트를 확인할 수 있습니다
- 정보 수신 기본 설정에 따라 이메일을 받을 수 있습니다
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.
인용 양식
Li Bai (2026). Shape matching optimization using atomic potential functions and artificial bee colony algorithm (https://kr.mathworks.com/matlabcentral/fileexchange/52980-shape-matching-optimization-using-atomic-potential-functions-and-artificial-bee-colony-algorithm), MATLAB Central File Exchange. 검색 날짜: .
