|
|
|
|
LEADER |
02929nam a2200229 a 4500 |
001 |
1496932 |
005 |
20171111233553.0 |
008 |
100715s2006 r da erci 001 u eng d |
020 |
|
|
|a 9783540345596
|q hbk.
|
040 |
|
|
|a CY
|b Βιβλιοθήκη Ανοικτού Πανεπιστημίου Κύπρου
|e AACR2
|
050 |
|
|
|a QA402.5.S36 2006
|
100 |
1 |
|
|a Schneider, Johannes J.
|q (Johannes Josef)
|
245 |
1 |
0 |
|a Stochastic optimization/
|c Johannes J. Schneider, Scott Kirkpatrick
|
260 |
|
|
|a Berlin:
|b Springer,
|c c2006
|
300 |
|
|
|a xvi, 565 p. :
|b ill. ;
|c 24 cm.
|
490 |
0 |
|
|a Scientific Computation (Springer)
|x 1434-8322
|
500 |
|
|
|a "With 189 figures and 29 tables"--T. p.
|
504 |
|
|
|a Includes bibliographical references (p.[551]-561) and index.
|
505 |
0 |
|
|a Indhold: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 Searching for Backbones ; The Constraint Satisfaction Problem ; Construction Heuristics for the CSP ; Random Local Iterative Search Heuristics ; Belief Propagation and Survey Propagation ; Future outlook of Optimization Business.
|
650 |
|
0 |
|a Mathematical optimization
|
700 |
1 |
|
|a Kirkpatrick, Scott
|
952 |
|
|
|a CY-NiOUC
|b 5a0428e16c5ad14ac1e7eacc
|c 998a
|d 945l
|e QA402.5.S36 2006
|t 1
|x m
|z Books
|