A hybrid neural approach to combinatorial optimization
β Scribed by Kate Smith; M. Palaniswami; M. Krishnamoorthy
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 983 KB
- Volume
- 23
- Category
- Article
- ISSN
- 0305-0548
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
In this work we present a new approach to crossover operator in the genetic evolution of neural networks. The most widely used evolutionary computation paradigm for neural network evolution is evolutionary programming. This paradigm is usually preferred due to the problems caused by the application
consider the dynamic behavior of the transiently chaotic neural network (TCNN). Although its dynamical behavior is of interest in investigating neural dynamics, we observed that the chaotic phase in a TCNN is not a necessary condition for the network to reach the global solution for a combinatorial