Title :
Comparison of neural network and genetic algorithms for a resource allocation problem
Author :
Owechko, Yuri ; Shams, Soheil
Author_Institution :
Hughes Res. Labs., Malibu, CA, USA
fDate :
27 Jun-2 Jul 1994
Abstract :
We compare neural network and genetic algorithm solutions of a resource allocation problem and discuss the relative asymptotic scaling of the two approaches in terms of time and space complexity. We show that for this problem neural networks and genetic algorithms perform similarly
Keywords :
computational complexity; genetic algorithms; neural nets; resource allocation; asymptotic scaling; genetic algorithms; neural network; resource allocation problem; space complexity; time complexity; Artificial neural networks; Computer networks; Constraint optimization; Equations; Genetic algorithms; Hopfield neural networks; Laboratories; Neural networks; Resource management; Weapons;
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.1994.375027
