Solving Nonlinear Optimization Problems Using Networks Of Spiking Neurons.
Rainer MalakaSebastian BuckPublished in: IJCNN (6) (2000)
Keyphrases
- spiking neurons
- solving nonlinear
- optimization problems
- augmented lagrangian
- artificial bee colony algorithm
- spiking neural networks
- constrained optimization problems
- evolutionary algorithm
- biologically plausible
- cost function
- nonlinear equations
- metaheuristic
- feed forward
- spike trains
- objective function
- neural network
- equality constraints
- biologically inspired
- combinatorial optimization
- hebbian learning
- optimization methods
- convex optimization
- complex systems
- constrained optimization
- input patterns
- total variation