Designing a neural network using a genetic algorithm with deterministic mutation and partial fitness.
Minoru FukumiToshiki YoshinoNorio AkamatsuPublished in: J. Intell. Fuzzy Syst. (1998)
Keyphrases
- genetic algorithm
- neural network
- fitness function
- population size
- evolutionary algorithm
- artificial neural networks
- crossover and mutation
- genetic algorithm ga
- fuzzy logic
- genetic operators
- evolutionary process
- mutation operator
- genetic programming
- crossover operator
- simulated annealing
- multi objective
- evolutionary computation
- optimization method
- roulette wheel selection
- natural selection
- differential evolution
- neural network model
- mutation probability
- multi objective optimization
- fitness evaluation
- pattern recognition
- back propagation
- hybrid algorithm
- genetic search
- evolution process
- parameter optimization
- tabu search
- fault diagnosis
- metaheuristic
- evolution strategy
- job shop scheduling problem
- markov chain
- global search
- network architecture
- parameter settings
- optimal solution