## Abstract We present a novel approach for optimizing reservoir operation through fuzzy programming and a hybrid evolution algorithm, i.e. genetic algorithm (GA) with simulated annealing (SA). In the analysis, objectives and constraints of reservoir operation are transformed by fuzzy programming f
A hybrid fuzzy/genetic algorithm for the design of offshore oil production risers
β Scribed by Beatriz de Souza Leite Pires de Lima; Breno Pinheiro Jacob; Nelson Francisco Favilla Ebecken
- Publisher
- John Wiley and Sons
- Year
- 2005
- Tongue
- English
- Weight
- 362 KB
- Volume
- 64
- Category
- Article
- ISSN
- 0029-5981
- DOI
- 10.1002/nme.1416
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
A regional genetic algorithm (R-GA) is used for the discrete optimal design of truss structures. The chromosomes are selected from a sub-region centred on the continuous optimum. This approach replaces genetic rebirth as previously proposed by other authors, thereby signiΓΏcantly reducing computation
Fuzzy models describe nonlinear input-output relationships with linguistic fuzzy rules. A hierarchical fuzzy modeling is promising for identification of fuzzy models of target systems that have many input variables. In the identification, (1) determination of a hierarchical structure of submodels, (