Combining Semantically-Effective and Geometric Crossover Operators for Genetic Programming
[ 1 ] Instytut Informatyki, Wydział Informatyki, Politechnika Poznańska | [ P ] pracownik
2014
referat
angielski
- semantics
- taxonomy
- neutrality
- brood selection
- experiment
EN We propose a way to combine two distinct general patterns for designing semantic crossover operators for genetic programming: geometric semantic approach and semantically-effective approach. In the experimental part we show the synergistic effects of combining these two approaches, which we explain by a major fraction of crossover acts performed by geometric semantic crossover operators being semantically ineffective. The results of the combined approach show significant improvement of performance and high resistance to a premature convergence.
454 - 464
WoS (15)