Interactive Genetic Algorithms with Grey Level of Discrete Fitness
β Scribed by Guangsong Guo; Shunxin Liu
- Book ID
- 119355478
- Publisher
- Elsevier
- Year
- 2011
- Tongue
- English
- Weight
- 645 KB
- Volume
- 24
- Category
- Article
- ISSN
- 1877-7058
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
## Abstract When genetic algorithm (GA) is applied to actual engineering problems, for example, optimization of design parameters, the searching time is usually huge because the fitness is calculated by repetitive simulation or analysis, which requires a large amount of calculation time. In order t
In this paper, we propose interactive fuzzy programming for multi-level 0 -1 programming problems with fuzzy parameters through genetic algorithms. Our method can be applied to hierarchical decision problems in which decision makers have their own objective functions but they can coordinate their de
In this paper, an interactive fuzzy programming method using genetic algorithms has been proposed for two-level 0-1 programming problems with fuzzy parameters. According to the proposed technique, the decision maker in each level establishes his fuzzy goals related to the objective functions, using