Some modified stochastic global optimization algorithms with applications
Stochastic methods for global optimization problems with continuous variables have been studied. Modifications of three different algorithms have been proposed. These are (1) Multilevel Single Linkage (MSL), (2) Simulated Annealing (SA) and (3) Controlled Random Search (CRS). We propose a new topogr...
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| Format: | Default Thesis |
| Published: |
1994
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| Online Access: | https://hdl.handle.net/2134/13429 |
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