A Harmony Theory artificial neural network implementation of the n-queens problem is presented in this piece of research. The problem is encoded in the two layers of the artificial neural network in such a manner that the inherent constraints of the problem are made directly available. Subsequently,
The MC SCF problem and simulated annealing strategy of global minimization
β Scribed by P. Dutta; S.P. Bhattacharyya
- Publisher
- Elsevier Science
- Year
- 1992
- Tongue
- English
- Weight
- 554 KB
- Volume
- 199
- Category
- Article
- ISSN
- 0009-2614
No coin nor oath required. For personal study only.
β¦ Synopsis
It is demonstrated that the method of simulated annealing can be successfully used for constructing an algorithm for solving the self-consistent field or the more general multi-configuration self-consistent field problems. It is shown that the simulated annealing based calculations do not encounter any difficulty even when a pathological divergence cripples a first-order MC SCF method. Applicability of the simulated annealing based strategy in solving general nonlinear matrix equations even in the presence of strong coupling is demonstrated in a model problem.
π SIMILAR VOLUMES
## Abstract A combination of singular value decomposition, entropy minimization, and simulated annealing was applied to a synthetic 7βspecies spectroscopic data set with added white noise. The pure spectra were highly overlapping. Global minima for selected objective functions were obtained for the
An algorithm for simulation of chemical equilibrium was developed. The method is based on the extent of reaction instead of the mass balance, which is currently used in other programs. This feature, besides the globally convergent strategy applied in the Newton-Raphson method, allows to carry out si