Crossover can provably be useful in evolutionary computation.
Benjamin DoerrEdda HappChristian KleinPublished in: Theor. Comput. Sci. (2012)
Keyphrases
- evolutionary computation
- evolutionary algorithm
- genetic programming
- genetic algorithm
- fitness function
- crossover operator
- optimization problems
- machine learning and data mining
- differential evolution
- swarm intelligence
- evolutionary design
- multi objective
- optimisation problems
- computational intelligence
- gene expression programming
- mutation operator
- genetic algorithm ga
- test functions
- cooperative coevolution
- fuzzy systems
- evolutionary learning
- genetic operators
- fitness landscape
- soft computing
- selection strategy
- simulated annealing
- evolution strategy
- evolutionary approaches
- multi objective optimization
- evolutionary process
- function optimization
- fuzzy logic
- artificial life
- evolutionary strategy
- particle swarm optimization
- evolutionary methods
- estimation of distribution algorithms
- particle swarm
- neural network