## Abstract The study presents two new nonlinear global optimization routines; the Gradient Only Tabu Search (GOTS) and the Tabu Search with Powell's Algorithm (TSPA). They are based on the Tabu‐Search strategy, which tries to determine the global minimum of a function by the __steepest descent–mil
A more efficient global optimization algorithm based on Styblinski and Tang
✍ Scribed by Daniel C. Chin
- Publisher
- Elsevier Science
- Year
- 1994
- Tongue
- English
- Weight
- 114 KB
- Volume
- 7
- Category
- Article
- ISSN
- 0893-6080
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
A statistical model for global optimization is constructed generalizing some properties of the Wiener process to the multidimensional case. An approach to the construction of global optimization algorithms is developed using the proposed statistical model. The convergence of an algorithm based on th
## Abstract Coupling of global hydrologic and atmospheric models is difficult because of the highly nonlinear hydrological processes to be integrated at large scales. Aggregation of high‐resolution data into low‐resolution spatial distribution functions is one way to preserve information and accoun
## Abstract Most fast block matching algorithms ignore the efficiency in motion compensation within each checking step. In order to achieve better‐compensated performance, the limited computational complexity should be allocated more carefully into each block. It means that the fast block matching