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Book Categories |
Preface | ||
1 | Tight relaxations of nonconvex optimization problems using the Reformulation-Linearization/Convexification Technique (RLT) | 1 |
2 | Exact algorithms for global optimization of mixed-integer nonlinear programs | 65 |
3 | Algorithms for global optimization and discrete problems based on methods for local optimization | 87 |
4 | An introduction to dynamical search | 115 |
5 | Two-phase methods for global optimization | 151 |
6 | Simulated annealing algorithms for continuous global optimization | 179 |
7 | Stochastic Adaptive Search | 231 |
8 | Implementation of Stochastic Adaptive Search with Hit-and-Run as a generator | 251 |
9 | Genetic algorithms | 275 |
10 | Dataflow learning in coupled lattices: an application to artificial neural networks | 363 |
11 | Taboo Search: an approach to the multiple-minima problem for continuous functions | 387 |
12 | Recent advances in the direct methods of X-ray crystallography | 407 |
13 | Deformation methods of global optimization in chemistry and physics | 461 |
14 | Experimental analysis of algorithms | 489 |
15 | Global optimization: software, test problems, and applications | 515 |
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