Stochastic Optimization
(Sprache: Englisch)
This book addresses stochastic optimization procedures in a broad manner. The first part offers an overview of relevant optimization philosophies; the second deals with benchmark problems in depth, by applying a selection of optimization procedures....
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Klappentext zu „Stochastic Optimization “
This book addresses stochastic optimization procedures in a broad manner. The first part offers an overview of relevant optimization philosophies; the second deals with benchmark problems in depth, by applying a selection of optimization procedures. Written primarily with scientists and students from the physical and engineering sciences in mind, this book addresses a larger community of all who wish to learn about stochastic optimization techniques and how to use them.
- General Remarks
- Exact Optimization Algorithms for Simple Problems
- Exact Optimization Algorithms for Complex Problems
- Monte Carlo
- Overview of Optimization Heuristics
- Implementation of Constraints.-Parallelization Strategies
- Construction Heuristics
- Markovian Improvement Heuristics
- Local Search
- Ruin & Recreate
- Simulated Annealing
- Threshold Accepting and Other Algorithms Related to Simulated Annealing
- Changing The Energy Landscape
- Estimation of Expectation Values
- Cooling Techniques
- Estimation of the Calculation Time Needed
- Weakening the Pure Markovian Approach.-Neural Networks
- Genetic Algorithms and Evolution Strategies
- Optimization Algorithms Inspired by Social Animals
- Optimization Algorithms Based on Multi Agent Systems
- Tabu Search
- Histogram Algorithms
- Searching for Backbones
- The Travelling Salesman Problem
- Extensions of the Traveling Salesman Problem
- Application of Construction Heuristics of theTSP
- Local Search Concepts Applied to the TSP
- Next Larger Moves Applied to the TSP
- Ruin and Recreate Applied to the TSP
- Application of Simulated Annealing to the TSP.-Dependencies of the SA-Results on the Moves and the Cooling Process
- Applicaton of Algorithms. Related to Simulated Annealing to the TSP.-Application of Search Space Smoothing to the TSP.-Further Techniques Changing the Energy Landscape of a TSP
- Applicaton of Neural Networks to the TSP. Application of Genetic Algorithms to the TSP
- Social Animal Algorithms Applied to the TSP
- Simulated Trading Applied to the TSP
- Tabu Search Applied to the TSP
- Application of History Algorithms to the TSP
- Application of Searching for Backbones to the TSP
- Simulating Various Types of Government With Searhing for Backbones
- The Constraint Satisfaction Problem
- Construction Heuristics for the CSP
- Random Local Iterative Search Heuristics
- Belief Propagation and Survey Propagation
- Outlook for the Future of the Optimization Business.
- Exact Optimization Algorithms for Simple Problems
- Exact Optimization Algorithms for Complex Problems
- Monte Carlo
- Overview of Optimization Heuristics
- Implementation of Constraints.-Parallelization Strategies
- Construction Heuristics
- Markovian Improvement Heuristics
- Local Search
- Ruin & Recreate
- Simulated Annealing
- Threshold Accepting and Other Algorithms Related to Simulated Annealing
- Changing The Energy Landscape
- Estimation of Expectation Values
- Cooling Techniques
- Estimation of the Calculation Time Needed
- Weakening the Pure Markovian Approach.-Neural Networks
- Genetic Algorithms and Evolution Strategies
- Optimization Algorithms Inspired by Social Animals
- Optimization Algorithms Based on Multi Agent Systems
- Tabu Search
- Histogram Algorithms
- Searching for Backbones
- The Travelling Salesman Problem
- Extensions of the Traveling Salesman Problem
- Application of Construction Heuristics of theTSP
- Local Search Concepts Applied to the TSP
- Next Larger Moves Applied to the TSP
- Ruin and Recreate Applied to the TSP
- Application of Simulated Annealing to the TSP.-Dependencies of the SA-Results on the Moves and the Cooling Process
- Applicaton of Algorithms. Related to Simulated Annealing to the TSP.-Application of Search Space Smoothing to the TSP.-Further Techniques Changing the Energy Landscape of a TSP
- Applicaton of Neural Networks to the TSP. Application of Genetic Algorithms to the TSP
- Social Animal Algorithms Applied to the TSP
- Simulated Trading Applied to the TSP
- Tabu Search Applied to the TSP
- Application of History Algorithms to the TSP
- Application of Searching for Backbones to the TSP
- Simulating Various Types of Government With Searhing for Backbones
- The Constraint Satisfaction Problem
- Construction Heuristics for the CSP
- Random Local Iterative Search Heuristics
- Belief Propagation and Survey Propagation
- Outlook for the Future of the Optimization Business.
Inhaltsverzeichnis zu „Stochastic Optimization “
- Theory Overview of Stochastic Optimization Algorithms- General Remarks
- Exact Optimization Algorithms for Simple Problems
- Exact Optimization Algorithms for Complex Problems
- Monte Carlo
- Overview of Optimization Heuristics
- Implementation of Constraints
- Parallelization Strategies
- Construction Heuristics
- Markovian Improvement Heuristics
- Local Search
- Ruin & Recreate
- Simulated Annealing
- Threshold Accepting and Other Algorithms Related to Simulated Annealing
- Changing the Energy Landscape
- Estimation of Expectation Values
- Cooling Techniques
- Estimation of Calculation Time Needed
- Weakening the Pure Markovian Approach
- Neural Networks
- Genetic Algorithms and Evolution Strategies
- Optimization Algorithms Inspired by Social Animals
- Optimization Algorithms Based on Multiagent Systems
- Tabu Search
- Histogram Algorithms
- Searching for Backbones
- Applications
- General Remarks
- The Traveling Salesman Problem
- The Traveling Salesman Problem
- Extensions of Traveling Salesman Problem
- Application of Construction Heuristics to TSP
- Local Search Concepts Applied to TSP
- Next Larger Moves Applied to TSP
- Ruin & Recreate Applied to TSP
- Application of Simulated Annealing to TSP
- Dependencies of SA Results on Moves and Cooling Process
- Application to TSP of Algorithms Related to Simulated Annealing
- Application of Search Space Smoothing to TSP
- Further Techniques Changing the Energy Landscape of a TSP
- Application of Neural Networks to TSP
- Application of Genetic Algorithms to TSP
- Social Animal Algorithms Applied to TSP
- Simulated Trading Applied to TSP
- Tabu Search Applied to TSP
- Application of History Algorithms to TSP
- Application of Searching for Backbones to TSP
- Simulating Various Types of Government with Searching for Backbones
- The Constraint Satisfaction Problem
- The Constraint Satisfaction Problem
- Construction Heuristics for CSP
- Random Local Iterative
... mehr
Search Heuristics
- Belief Propagation and Survey Propagation
- Outlook
- Future Outlook of Optimization Business
- Belief Propagation and Survey Propagation
- Outlook
- Future Outlook of Optimization Business
... weniger
Bibliographische Angaben
- Autoren: Johannes Schneider , Scott Kirkpatrick
- 2006, 568 Seiten, 150 Schwarz-Weiß-Abbildungen, Maße: 16,4 x 24,4 cm, Gebunden, Englisch
- Verlag: Springer
- ISBN-10: 3540345590
- ISBN-13: 9783540345596
- Erscheinungsdatum: 07.11.2006
Sprache:
Englisch
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