To slide or not to slide? Moving along fitness levels and preserving the gene subsets diversity in modern evolutionary computation.
Michal Witold PrzewozniczekMarcin Michal KomarnickiPublished in: GECCO (2023)
Keyphrases
- evolutionary computation
- evolutionary algorithm
- genetic programming
- fitness function
- evolutionary process
- genetic algorithm
- population diversity
- fitness landscape
- machine learning and data mining
- computational intelligence
- evolutionary design
- cooperative coevolution
- multi objective
- swarm intelligence
- fuzzy systems
- optimization problems
- fuzzy logic
- differential evolution
- multi objective evolutionary algorithms
- soft computing
- gene expression programming
- mutation operator
- genetic operators
- simulated annealing
- evolutionary learning
- artificial life
- nature inspired algorithms
- artificial neural networks
- evolvable hardware
- optimisation problems
- genetic algorithm ga
- premature convergence
- multi objective optimization
- continuous domains
- real time