The main real-coded genetic algorithm (RCGA) research effort has been spent on developing efficient crossover operators. This study presents a taxonomy for this operator that groups its instances in different categories according to the way they generate the genes of the offspring from the genes of
β¦ LIBER β¦
A neurocomputing model for real coded genetic algorithm with the minimal generation gap
β Scribed by D.-X. Gong; X.-G. Ruan; J.-F. Qiao
- Publisher
- Springer-Verlag
- Year
- 2004
- Tongue
- English
- Weight
- 562 KB
- Volume
- 13
- Category
- Article
- ISSN
- 0941-0643
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