Modeling crossover-induced linkage in genetic algorithms
β Scribed by Prugel-Bennett, A.
- Book ID
- 117878911
- Publisher
- IEEE
- Year
- 2001
- Tongue
- English
- Weight
- 236 KB
- Volume
- 5
- Category
- Article
- ISSN
- 1089-778X
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Genetic algorithms are adaptive methods which may be used to solve search and optimization problems. Genetic algorithms process a population of search space solutions with three operations: selection, crossover and mutation. An important problem in the use of genetic algorithms is the premature conv
A genetic algorithm has been developed for molecular mechanics calculations. It has been proved to be a robust and efficient structure optimization technique. Because it uses randomly generated starting structures and stochastic operators, the resulting structures are not subjected to the chemist's