An alternative approach for neural network evolution with a genetic algorithm: Crossover by combinatorial optimization.
Nicolás García-PedrajasDomingo Ortiz-BoyerCésar Hervás-MartínezPublished in: Neural Networks (2006)
Keyphrases
- combinatorial optimization
- genetic algorithm
- network evolution
- simulated annealing
- metaheuristic
- traveling salesman problem
- neural network
- crossover operator
- structural properties
- combinatorial optimization problems
- complex networks
- evolutionary algorithm
- genetic algorithm ga
- social networks
- tabu search
- fitness function
- optimization problems
- real coded
- job shop scheduling problem
- branch and bound algorithm
- combinatorial problems
- mutation operator
- hard combinatorial optimization problems
- vehicle routing problem
- genetic programming
- evolutionary computation
- network topologies
- multi objective
- differential evolution
- network structure
- crossover and mutation
- mutation probability
- search algorithm
- graph theory
- ant colony optimization
- optimal solution
- benchmark problems