Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics (Record no. 37987)

000 -LEADER
fixed length control field 05207nam a22005775i 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783642037511
-- 978-3-642-03751-1
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.73
245 10 - TITLE STATEMENT
Title Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics
Sub Title Second International Workshop, SLS 2009, Brussels, Belgium, September 3-4, 2009. Proceedings /
Statement of responsibility, etc edited by Thomas Stützle, Mauro Birattari, Holger H. Hoos.
260 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Berlin, Heidelberg :
Name of publisher Springer Berlin Heidelberg,
Year of publication 2009.
300 ## - PHYSICAL DESCRIPTION
Number of Pages X, 155 p.
Other physical details online resource.
490 1# - SERIES STATEMENT
Series statement Lecture Notes in Computer Science,
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note High-Performance Local Search for Task Scheduling with Human Resource Allocation -- High-Performance Local Search for Task Scheduling with Human Resource Allocation -- On the Use of Run Time Distributions to Evaluate and Compare Stochastic Local Search Algorithms -- Estimating Bounds on Expected Plateau Size in MAXSAT Problems -- A Theoretical Analysis of the k-Satisfiability Search Space -- Loopy Substructural Local Search for the Bayesian Optimization Algorithm -- Running Time Analysis of ACO Systems for Shortest Path Problems -- Techniques and Tools for Local Search Landscape Visualization and Analysis -- Short Papers -- High-Performance Local Search for Solving Real-Life Inventory Routing Problems -- A Detailed Analysis of Two Metaheuristics for the Team Orienteering Problem -- On the Explorative Behavior of MAX–MIN Ant System -- A Study on Dominance-Based Local Search Approaches for Multiobjective Combinatorial Optimization -- A Memetic Algorithm for the Multidimensional Assignment Problem -- Autonomous Control Approach for Local Search -- EasyGenetic: A Template Metaprogramming Framework for Genetic Master-Slave Algorithms -- Adaptive Operator Selection for Iterated Local Search -- Improved Robustness through Population Variance in Ant Colony Optimization -- Mixed-Effects Modeling of Optimisation Algorithm Performance.
520 ## - SUMMARY, ETC.
Summary, etc Stochastic local search (SLS) algorithms are established tools for the solution of computationally hard problems arising in computer science, business adm- istration, engineering, biology, and various other disciplines. To a large extent, their success is due to their conceptual simplicity, broad applicability and high performance for many important problems studied in academia and enco- tered in real-world applications. SLS methods include a wide spectrum of te- niques, ranging from constructive search procedures and iterative improvement algorithms to more complex SLS methods, such as ant colony optimization, evolutionary computation, iterated local search, memetic algorithms, simulated annealing, tabu search, and variable neighborhood search. Historically, the development of e?ective SLS algorithms has been guided to a large extent by experience and intuition. In recent years, it has become - creasingly evident that success with SLS algorithms depends not merely on the adoption and e?cient implementation of the most appropriate SLS technique for a given problem, but also on the mastery of a more complex algorithm - gineering process. Challenges in SLS algorithm development arise partly from the complexity of the problems being tackled and in part from the many - grees of freedom researchers and practitioners encounter when developing SLS algorithms. Crucial aspects in the SLS algorithm development comprise al- rithm design, empirical analysis techniques, problem-speci?c background, and background knowledge in several key disciplines and areas, including computer science, operations research, arti?cial intelligence, and statistics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Computer science.
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Topical Term Data structures (Computer science).
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Topical Term Computer software.
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Topical Term Logic design.
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Topical Term Data mining.
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Topical Term Computer Science.
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Topical Term Data Structures.
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Topical Term Data Structures, Cryptology and Information Theory.
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Topical Term Data Storage Representation.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Algorithm Analysis and Problem Complexity.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Logics and Meanings of Programs.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Data Mining and Knowledge Discovery.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Stützle, Thomas.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Birattari, Mauro.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Hoos, Holger H.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-642-03751-1
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type E-BOOKS
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg,
-- 2009.
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-- computer
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-- rdamedia
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-- online resource
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-- text file
-- PDF
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-- 0302-9743 ;
Holdings
Withdrawn status Lost status Damaged status Not for loan Current library Accession Number Uniform Resource Identifier Koha item type
        IMSc Library EBK8693 http://dx.doi.org/10.1007/978-3-642-03751-1 E-BOOKS
The Institute of Mathematical Sciences, Chennai, India

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