Crossover can provably be useful in evolutionary computation.
Benjamin DoerrEdda HappChristian KleinPublished in: GECCO (2008)
Keyphrases
- evolutionary computation
- evolutionary algorithm
- genetic programming
- genetic algorithm
- fitness function
- machine learning and data mining
- optimisation problems
- crossover operator
- evolutionary design
- multi objective optimization
- differential evolution
- multi objective
- gene expression programming
- evolutionary approaches
- fuzzy systems
- swarm intelligence
- artificial life
- cooperative coevolution
- optimization problems
- simulated annealing
- evolutionary process
- test functions
- computational intelligence
- evolvable hardware
- genetic algorithm ga
- mutation operator
- genetic operators
- evolutionary learning
- soft computing
- selection strategy
- real time
- neural network
- artificial intelligence
- evolutionary search
- search algorithm
- artificial neural networks
- evolutionary strategy
- estimation of distribution algorithms
- particle swarm