DocumentCode
1710100
Title
A new global optimization algorithm based on Latin Square theory
Author
Li, Dong-Guang ; Smith, Clifton
Author_Institution
Inst. of Security & Appl. Technol., Edith Cowan Univ., Mount Lawley, WA, Australia
fYear
1996
Firstpage
628
Lastpage
630
Abstract
The paper presents a new method, DGL-Optimization, for global minimization of functions of continuous variables based on Latin Square sampling. It is also a candidate for the real function test bed of the First International Contest on Evolutionary Optimization. This innovative algorithm of DGL-Optimization has two significant features: the ability to find true global minima and its extreme ease of use
Keywords
genetic algorithms; minimisation; DGL-Optimization; First International Contest on Evolutionary Optimization; Latin Square sampling; continuous variable functions; global minimization; global optimization algorithm; real function test bed; true global minima; Australia; Biology computing; Design optimization; Level set; Minimization methods; Optimization methods; Reliability engineering; Sampling methods; Security; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 1996., Proceedings of IEEE International Conference on
Conference_Location
Nagoya
Print_ISBN
0-7803-2902-3
Type
conf
DOI
10.1109/ICEC.1996.542673
Filename
542673
Link To Document