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Stochastic Optimization
Overview of attention for book
Table of Contents
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Book Overview
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Chapter 1
General Remarks
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Chapter 2
Exact Optimization Algorithms for Simple Problems
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Chapter 3
Exact Optimization Algorithms for Complex Problems
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Chapter 4
Monte Carlo
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Chapter 5
Overview of Optimization Heuristics
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Chapter 6
Implementation of Constraints
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Chapter 7
Parallelization Strategies
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Chapter 8
Construction Heuristics
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Chapter 9
Markovian Improvement Heuristics
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Chapter 10
Local Search
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Chapter 11
Ruin & Recreate
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Chapter 12
Simulated Annealing
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Chapter 13
Threshold Accepting and Other Algorithms Related to Simulated Annealing
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Chapter 14
Changing the Energy Landscape
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Chapter 15
Estimation of Expectation Values
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Chapter 16
Cooling Techniques
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Chapter 17
Estimation of Calculation Time Needed
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Chapter 18
Weakening the Pure Markovian Approach
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Chapter 19
Neural Networks
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Chapter 20
Genetic Algorithms and Evolution Strategies
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Chapter 21
Optimization Algorithms Inspired by Social Animals
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Chapter 22
Optimization Algorithms Based on Multiagent Systems
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Chapter 23
Tabu Search
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Chapter 24
Histogram Algorithms
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Chapter 25
Searching for Backbones
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Chapter 26
General Remarks
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Chapter 27
The Traveling Salesman Problem
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Chapter 28
Extensions of Traveling Salesman Problem
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Chapter 29
Application of Construction Heuristics to TSP
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Chapter 30
Local Search Concepts Applied to TSP
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Chapter 31
Next Larger Moves Applied to TSP
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Chapter 32
Ruin & Recreate Applied to TSP
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Chapter 33
Application of Simulated Annealing to TSP
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Chapter 34
Dependencies of SA Results on Moves and Cooling Process
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Chapter 35
Application to TSP of Algorithms Related to Simulated Annealing
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Chapter 36
Application of Search Space Smoothing to TSP
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Chapter 37
Further Techniques Changing the Energy Landscape of a TSP
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Chapter 38
Application of Neural Networks to TSP
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Chapter 39
Application of Genetic Algorithms to TSP
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Chapter 40
Social Animal Algorithms Applied to TSP
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Chapter 41
Simulated Trading Applied to TSP
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Chapter 42
Tabu Search Applied to TSP
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Chapter 43
Application of History Algorithms to TSP
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Chapter 44
Application of Searching for Backbones to TSP
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Chapter 45
Simulating Various Types of Government with Searching for Backbones
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Chapter 46
The Constraint Satisfaction Problem
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Chapter 47
Construction Heuristics for CSP
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Chapter 48
Random Local Iterative Search Heuristics
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Chapter 49
Belief Propagation and Survey Propagation
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Chapter 50
Future Outlook of Optimization Business
Overall attention for this book and its chapters
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Mentioned by
syllabi
1
institution with syllabi
Citations
dimensions_citation
65
Dimensions
Readers on
mendeley
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Mendeley
Book overview
1. General Remarks
2. Exact Optimization Algorithms for Simple Problems
3. Exact Optimization Algorithms for Complex Problems
4. Monte Carlo
5. Overview of Optimization Heuristics
6. Implementation of Constraints
7. Parallelization Strategies
8. Construction Heuristics
9. Markovian Improvement Heuristics
10. Local Search
11. Ruin & Recreate
12. Simulated Annealing
13. Threshold Accepting and Other Algorithms Related to Simulated Annealing
14. Changing the Energy Landscape
15. Estimation of Expectation Values
16. Cooling Techniques
17. Estimation of Calculation Time Needed
18. Weakening the Pure Markovian Approach
19. Neural Networks
20. Genetic Algorithms and Evolution Strategies
21. Optimization Algorithms Inspired by Social Animals
22. Optimization Algorithms Based on Multiagent Systems
23. Tabu Search
24. Histogram Algorithms
25. Searching for Backbones
26. General Remarks
27. The Traveling Salesman Problem
28. Extensions of Traveling Salesman Problem
29. Application of Construction Heuristics to TSP
30. Local Search Concepts Applied to TSP
31. Next Larger Moves Applied to TSP
32. Ruin & Recreate Applied to TSP
33. Application of Simulated Annealing to TSP
34. Dependencies of SA Results on Moves and Cooling Process
35. Application to TSP of Algorithms Related to Simulated Annealing
36. Application of Search Space Smoothing to TSP
37. Further Techniques Changing the Energy Landscape of a TSP
38. Application of Neural Networks to TSP
39. Application of Genetic Algorithms to TSP
40. Social Animal Algorithms Applied to TSP
41. Simulated Trading Applied to TSP
42. Tabu Search Applied to TSP
43. Application of History Algorithms to TSP
44. Application of Searching for Backbones to TSP
45. Simulating Various Types of Government with Searching for Backbones
46. The Constraint Satisfaction Problem
47. Construction Heuristics for CSP
48. Random Local Iterative Search Heuristics
49. Belief Propagation and Survey Propagation
50. Future Outlook of Optimization Business
Summary
Syllabi
Dimensions citations
This data is correct as of December 2015 - for more up to date information, please visit
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So far, Altmetric has seen this research output assigned in
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