In this paper a deterministic global optimization algorithm is proposed for locating the global minimum of the generalized geometric programming (GGP) problem. By utilizing an exponential variable transformation and some other techniques the initial nonconvex problem (GGP) is reduced to a typical re
Trace optimization problems and generalized geometric programming
โ Scribed by C.H Scott; T.R Jefferson
- Publisher
- Elsevier Science
- Year
- 1977
- Tongue
- English
- Weight
- 177 KB
- Volume
- 58
- Category
- Article
- ISSN
- 0022-247X
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
This paper presents a possible generalization of geometric programming problems. Such a generalization was proposed by Paterson [6], based on Roc.l~eUar's [8] conjugate function theory. Using their results, we define a slightly different, more symmetric dual pair of general unconstrained geometric
The generalized geometric programming algorithm GGP has been found to be one of the better algorithms for optimizing algebraic functions subject to algebraic constraints. The paper discusses two problems with the GGP algorithm presented by Avriel et al. (1980). The first problem is that, because of