Genetic Algorithms for Structural Cluster Optimization
โ Scribed by Wolf, Matthew D.; Landman, Uzi
- Book ID
- 118233290
- Publisher
- American Chemical Society
- Year
- 1998
- Tongue
- English
- Weight
- 310 KB
- Volume
- 102
- Category
- Article
- ISSN
- 1089-5639
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๐ SIMILAR VOLUMES
## Abstract An improved genetic algorithm (GA) is described that has been developed to increase the efficiency of finding the global minimum energy isomers for nanoalloy clusters. The GA is optimized for the example Pt~12~Pd~12~, with specific investigation of: the effect of biasing the initial pop
A real coded genetic algorithm is implemented for the optimization of actuator parameters for cylinder drag minimization. We consider two types of idealized actuators that are allowed either to move steadily and tangentially to the cylinder surface ("belts") or to steadily blow/suck with a zero net