Title :
Connectionist approach for global optimization
Author :
Babu, G. Phanendra ; Murty, M. Narasimha
Author_Institution :
Dept. of Comput. Sci. & Autom., Inst. of Sci., Bangalore, India
fDate :
27 Jun-2 Jul 1994
Abstract :
A connectionist approach for global optimization is proposed. The standard function set is tested. Results obtained, in the case of large scale problems, indicate excellent scalability of the proposed approach
Keywords :
constraint theory; neural nets; optimisation; connectionist approach; constraint; function set; global optimization; large scale problems; neural networks; nonlinear programming; scalability; simulated annealing; Automation; Computer science; Indexing; Minimization; Neural networks; Optimization methods; Scalability; Stochastic processes; Temperature; Testing;
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
DOI :
10.1109/ICNN.1994.375030
