Comparison of neural network and genetic algorithms for a resource allocation problem

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.< >

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Bibliographic Details
Published inProceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94) Vol. 7; pp. 4655 - 4660 vol.7
Main Authors Owechko, Y., Shams, S.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1994
Subjects
Artificial neural networks
Computer networks
Constraint optimization
Equations
Genetic algorithms
Hopfield neural networks
Laboratories
Neural networks
Resource management
Weapons
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Summary: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.< >
ISBN:078031901X
9780780319011
DOI:10.1109/ICNN.1994.375027