Title :
Distributed global optimization (DGO)
Author :
Valafar, Homayoun ; Ersoy, Okan K. ; Valafar, Faramarz
Author_Institution :
Complex Carbohydrate Res. Center, Georgia Univ., Athens, GA, USA
Abstract :
A new technique of global optimization and its applications in particular to neural networks are presented. The algorithm is also compared to other global optimization algorithms such as the gradient descent method, Monte Carlo method, genetic algorithm and other commercial packages. This new optimization technique proved itself worthy of further study after observing its accuracy of convergence, speed of convergence and ease of use. Some of the advantages of this new optimization technique are given
Keywords :
mathematics computing; neural nets; optimisation; Monte Carlo method; convergence; distributed global optimization; genetic algorithm; neural networks; Concurrent computing; Convergence; Genetic algorithms; Intelligent networks; Monte Carlo methods; Neural networks; Packaging; Reflective binary codes; Temperature; Tree graphs;
Conference_Titel :
Neural Networks, 1996., IEEE International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-3210-5
DOI :
10.1109/ICNN.1996.548951
