Stochastic optimization/

Main Author: Schneider, Johannes J.
Other Authors: Kirkpatrick, Scott
Format: Book
Language:English
Published: Berlin: Springer, c2006
Series:Scientific Computation (Springer)
Subjects:
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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