Hybrid crossover operators for real-coded genetic algorithms: an experimental study

@article{Herrera2005HybridCO,
  title={Hybrid crossover operators for real-coded genetic algorithms: an experimental study},
  author={Francisco Herrera and Manuel Lozano and Ana M. S{\'a}nchez},
  journal={Soft Comput.},
  year={2005},
  volume={9},
  pages={280-298}
}
Most real-coded genetic algorithm research has focused on developing effective crossover operators, and as a result, many different types have been proposed. Some forms of crossover operators are more suitable to tackle certain problems than others, even at the different stages of the genetic process in the same problem. For this reason, techniques which combine multiple crossovers have been suggested as alternative schemes to the common practice of applying only one crossover model to all the… CONTINUE READING

Citations

Publications citing this paper.
Showing 1-10 of 58 extracted citations

Adaptive precision technique for genetic algorithms

2008 International Conference on Field Programmable Logic and Applications • 2008
View 4 Excerpts
Highly Influenced

GAAP. genetic algorithm with auxiliary populations applied to continuous optimization problems

Proceedings of the ITI 2012 34th International Conference on Information Technology Interfaces • 2012
View 7 Excerpts
Highly Influenced

References

Publications referenced by this paper.
Showing 1-10 of 55 references

An Empirical study on the synergy of multiple crossover operators

Yoon H-S, Moon B-R
IEEE Trans. Evol. Comput • 2002

A study on non-random mating and varying population size in genetic algorithms Using a royal road function

C Fernandes, A Rosa
Proceedings of the 2001 congress on evolutionary computation, • 2001

Similar Papers

Loading similar papers…