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Foreword | ||
Preface | ||
Acknowledgments | ||
1 | Introduction | 1 |
2 | Tutorial: Unconstrained Nonlinear Optimization | 23 |
3 | Tutorial: 0-1 Knapsack Problems | 49 |
4 | Tutorial: Linear Ordering Problem | 69 |
5 | Advanced Scatter Search Designs | 89 |
6 | Use of Memory in Scatter Search | 123 |
7 | Connections with Other Population-Based Approaches | 141 |
8 | Scatter Search Applications | 185 |
9 | Commercial Scatter Search Implementation | 219 |
10 | Experiences and Future Directions | 255 |
References | 277 | |
Index | 285 |
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Add Scatter Search: Methodology and Implementation in C, The evolutionary approach called scatter search originated from strategies for creating composite decision rules and surrogate constraints. Recent studies demonstrate the practical advantages of this approach for solving a diverse array of optimization pr, Scatter Search: Methodology and Implementation in C to the inventory that you are selling on WonderClubX
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Add Scatter Search: Methodology and Implementation in C, The evolutionary approach called scatter search originated from strategies for creating composite decision rules and surrogate constraints. Recent studies demonstrate the practical advantages of this approach for solving a diverse array of optimization pr, Scatter Search: Methodology and Implementation in C to your collection on WonderClub |