Derivative-Free Filter Simulated Annealing Method for Constrained Continuous Global Optimization
β Scribed by Abdel-Rahman Hedar; Masao Fukushima
- Publisher
- Springer US
- Year
- 2006
- Tongue
- English
- Weight
- 287 KB
- Volume
- 35
- Category
- Article
- ISSN
- 0925-5001
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π SIMILAR VOLUMES
A general method designed to isolate the global minimum of a multidimensional objective function with multiple minima is presented. The algorithm exploits an integral ''coarse-graining'' transformation of the objective function, U, into a smoothed function with few minima. When the coarsegraining is
## Abstract Heuristic methods, such as tabu search, are efficient for global optimizations. Most studies, however, have focused on constraintβfree optimizations. Penalty functions are commonly used to deal with constraints for global optimization algorithms in dealing with constraints. This is some