Bell-curve genetic algorithm for mixed continuous and discrete optimization problems
β Scribed by R.K. Kincaid; M.M. Griffith; R. Sykes; J. Sobieszczanski-Sobieski
- Publisher
- Springer-Verlag
- Year
- 2004
- Tongue
- English
- Weight
- 186 KB
- Volume
- 26
- Category
- Article
- ISSN
- 1615-1488
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
A nonlinear search algorithm for optimizing constrained design of ship structures is presented. The decision variables can be continuous or discrete and the constraints can be homogeneous or inequality nonlinear functions of those variables. The algorithm does not use gradients; therefore, it can wo
## Abstract A multiβstart threshold accepting algorithm with an adaptive memory (MSβTA) is proposed to solve multiple objective continuous optimization problems. The aim of this paper is to find efficiently multiple Paretoβoptimal solutions. Comparisons are carried out with multiple objective taboo