The Science of Breeding and Its Application to the Breeder Genetic Algorithm (BGA).
Heinz MühlenbeinDirk Schlierkamp-VoosenPublished in: Evol. Comput. (1993)
Keyphrases
- genetic algorithm
- multi objective
- science education
- fitness function
- neural network
- metaheuristic
- genetic algorithm ga
- optimization method
- artificial intelligence
- computer science
- simulated annealing
- data mining
- longitudinal study
- multi objective optimization
- artificial neural networks
- evolutionary algorithm
- genetic operators
- science learning
- prize collecting
- genetic search
- multi population
- databases
- physical sciences
- job shop scheduling problem
- mutation operator
- crossover operator
- hybrid algorithm
- evolutionary computation
- knowledge base
- machine learning