An Optimization Spiking Neural P System for Approximately Solving Combinatorial Optimization Problems.
Gexiang ZhangHaina RongFerrante NeriMario J. Pérez-JiménezPublished in: Int. J. Neural Syst. (2014)
Keyphrases
- combinatorial optimization problems
- discrete optimization
- combinatorial optimization
- optimization problems
- continuous optimization problems
- bio inspired
- metaheuristic
- knapsack problem
- ant colony optimization
- neuron model
- job shop scheduling
- traveling salesman problem
- simulated annealing
- spike trains
- hebbian learning
- learning rules
- shortest path problem
- job shop scheduling problem
- biologically plausible
- evolutionary algorithm
- single neuron
- swarm intelligence
- spiking neurons
- branch and bound algorithm
- feed forward
- branch and bound
- spiking neural networks
- neural models
- hodgkin huxley
- memetic algorithm
- neural network
- multi objective
- tabu search
- vehicle routing problem
- estimation of distribution algorithms
- exact algorithms
- worst case
- quadratic programming
- optimization methods