Xin-She Yang
Introduction to Mathematical Optimization
Buch
This book provides a balanced selection of both conventionaloptimization algorithms and modern metaheuristic methodscommonly used in mathematical optimization. Conventionalalgorithms include gradient-based methods such as the steepestdescent method, the simplex method for linear programming,Lagrange multipliers, and Hooke-Jeeves pattern search.Metaheuristic methods include ant colony optimization (ACO),particle swarm optimization (PSO), simulated annealing (SA), andTabu search, recursive method for multiobjective optimization.With dozens of worked examples and three Matlab/Octaveprograms, this book can ideally serve as a textbook, especiallys…
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Beschreibung
This book provides a balanced selection of both conventionaloptimization algorithms and modern metaheuristic methodscommonly used in mathematical optimization. Conventionalalgorithms include gradient-based methods such as the steepestdescent method, the simplex method for linear programming,Lagrange multipliers, and Hooke-Jeeves pattern search.Metaheuristic methods include ant colony optimization (ACO),particle swarm optimization (PSO), simulated annealing (SA), andTabu search, recursive method for multiobjective optimization.With dozens of worked examples and three Matlab/Octaveprograms, this book can ideally serve as a textbook, especiallysuitable for undergraduates and graduates.
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Produktdetails
- ISBN: 978-1-904602-82-8
- EAN: 9781904602828
- Produktnummer: 3469286
- Verlag: Cambridge International Science Publishing Ltd
- Sprache: Englisch
- Erscheinungsjahr: 2008
- Seitenangabe: 164 S.
- Masse: H23.4 cm x B15.6 cm x D0.9 cm 260 g
- Abbildungen: Paperback
- Gewicht: 260
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