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
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;
Conference_Titel :
Evolutionary Computation, 1996., Proceedings of IEEE International Conference on
Conference_Location :
Nagoya
Print_ISBN :
0-7803-2902-3
DOI :
10.1109/ICEC.1996.542673
