Genetic Algorithms: Two Different Elitism Operators for Stochastic and Deterministic Applications.
Juan SeijasCarmen MoratóJosé L. Sanz-GonzálezPublished in: PPAM (2001)
Keyphrases
- genetic algorithm
- stochastic methods
- stochastic optimization problems
- crossover and mutation operators
- learning automata
- neural network
- artificial neural networks
- fuzzy logic
- black box
- mutation operator
- initial population
- evolutionary computation
- monte carlo
- metaheuristic
- stochastic nature
- multi objective
- stochastic programming
- stochastic optimization
- monte carlo sampling
- stochastic domains
- modular neural networks
- multi objective optimization
- morphological operators
- differential evolution
- genetic algorithm ga
- fitness function
- evolutionary algorithm
- simulated annealing
- random variables
- stochastic search algorithms
- bayesian networks
- search space
- computational intelligence
- tabu search
- binary representation
- learning classifier systems
- hopfield neural network
- population size
- stochastic model