In this paper we consider the problem of generator maintenance scheduling (GMS) in power systems. A genetic algorithm with a fuzzy evaluation function is proposed in order to overcome some of the limitations of conventional modelling and solution methods. A test GMS problem is formulated with a rel
Accuracy evaluation for a function generator
โ Scribed by I. G. Dobrovol'skii; L. G. Dobrovol'skaya
- Book ID
- 104954001
- Publisher
- Springer US
- Year
- 1978
- Tongue
- English
- Weight
- 240 KB
- Volume
- 21
- Category
- Article
- ISSN
- 0543-1972
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
An attempt is made to bling out the characteristic features of electronic circuits destined to cover a wide range of mathematical operations otherwise performed by various individual analog computing elements. Operations in question are essentially nonlinear in character. Since the device performs
When xt'=zi' and, for any xt t left in set Xt, there exists irt-,, for which x~1\\_~=x, ' Vi<l-|. If ~-I is left in X~-, , we again consider zl i, zt ยง = , and so on, comparing them, not with xlt ,'-, ~ but with z-, -If the values are the same, we proceed as described above. If x~\\_, is unacceptabl