DocumentCode
1165876
Title
Optimization of functions with many minima
Author
Bilbro, Griff L. ; Snyder, Wesley E.
Author_Institution
Bowman Gray Sch. of Med., MRI Radiol., Winston-Salem, NC, USA
Volume
21
Issue
4
fYear
1991
Firstpage
840
Lastpage
849
Abstract
A numerical method for finding the global minimum of nonconvex functions is presented. The method is based on the principles of simulated annealing, but handles continuously valued variables in a natural way. The method is completely general, and optimizes functions of up to 30 variables. Several examples are presented. A general-purpose program, INTEROPT, is described, which finds the minimum of arbitrary functions, with user-friendly, quasi-natural-language input
Keywords
mathematics computing; numerical methods; simulated annealing; INTEROPT; continuously valued variables; functions optimisation; global minimum; minima; nonconvex functions; numerical method; quasi-natural-language input; simulated annealing; Computational modeling; Context modeling; Data structures; Energy states; Minimization methods; Optimization methods; Simulated annealing; Temperature;
fLanguage
English
Journal_Title
Systems, Man and Cybernetics, IEEE Transactions on
Publisher
ieee
ISSN
0018-9472
Type
jour
DOI
10.1109/21.108301
Filename
108301
Link To Document