An Empirical Evaluation of Global Fitness Surrogate Models in Evolutionary Computation.
Leonardo Ramos EmmendorferPublished in: ICAISC (1) (2020)
Keyphrases
- evolutionary computation
- evolutionary algorithm
- genetic programming
- fitness function
- genetic algorithm
- fitness landscape
- machine learning and data mining
- computational intelligence
- evolutionary process
- swarm intelligence
- evolutionary design
- optimisation problems
- fuzzy systems
- optimization problems
- multi objective
- gene expression programming
- differential evolution
- evolutionary approaches
- soft computing
- test functions
- evolutionary learning
- multi objective optimization
- simulated annealing
- cooperative coevolution
- fuzzy logic
- nature inspired algorithms
- symbolic regression
- genetic algorithm ga
- search algorithm
- crossover and mutation
- genetic operators
- evolvable hardware
- mutation operator
- variable length
- data mining techniques
- search space
- artificial intelligence