Representation, mutation and crossover issues in evolutionary computation.
Robert HinterdingPublished in: CEC (2000)
Keyphrases
- evolutionary computation
- evolutionary algorithm
- genetic algorithm
- genetic programming
- fitness function
- multi objective
- differential evolution
- mutation operator
- crossover operator
- machine learning and data mining
- optimization problems
- genetic algorithm ga
- evolutionary process
- continuous domains
- swarm intelligence
- cooperative coevolution
- genetic operators
- fuzzy systems
- evolutionary design
- simulated annealing
- evolutionary learning
- function optimization
- differential evolution algorithm
- artificial life
- evolutionary strategy
- evolvable hardware
- optimisation problems
- gene expression programming
- fitness landscape
- population size
- crossover and mutation
- computational intelligence
- machine learning
- evolutionary approaches
- particle swarm
- evolution strategy
- neural network
- evolutionary search
- nsga ii
- nature inspired algorithms