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Engineering stochastic local search algorithms : designing, implementing and analyzing effective heuristics, Second International Workshop, SLS 2009, Brussels, Belgium, September 3-4, 2009. Proceedings / Thomas Stützle, Mauro Birattari, Holger H. Hoos (Eds.).



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Creatore: SLS 2009 (2009 : Brussels, Belgium)
Titolo: Engineering stochastic local search algorithms : designing, implementing and analyzing effective heuristics, Second International Workshop, SLS 2009, Brussels, Belgium, September 3-4, 2009. Proceedings / Thomas Stützle, Mauro Birattari, Holger H. Hoos (Eds.).
Link to work: Engineering Stochastic Local Search Algorithms Visualizza cluster
Pubblicazione: Berlin ; Heidelberg : Springer-Verlag, ©2009
Estensione: 1 online resource.
Tipo formato: computer
Tipo contenuto: text
Tipo supporto: online resource
Disciplina: 005.1
Titolo uniforme di collana: Lecture notes in computer science 5752.
Classificazione: 54.10
54.51
TP301. 6-532
Classificazione LOC: QA76.9.A43 S57 2009
Creatori/Collaboratori: Stützle, Thomas
Birattari, Mauro
Hoos, Holger H.
Note generali: International conference proceedings.
Includes index.
Contenuto supplementare: Includes bibliographical references and index.
Nota di contenuto: 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.
Sommario/riassunto: This book constitutes the refereed proceedings of the International Workshop on Engineering Stochastic Local Search Algorithms 2009, held in Brussels, Belgium, September 3-5, 2009. The 7 revised full papers presented together with 10 short papers were carefully reviewed and selected from more than 27 submissions. The topics include e. g. the use of run time distributions to evaluate and compare, high- performance local search for task scheduling with human, running time analysis of ACO Systems for shortest path problems, the explorative behavior of MAX-MIN ant system and improved robustness through population variance and colony optimization.
Collana: Lecture Notes in Computer Science ; 5752
Varianti del titolo: SLS 2009
ISBN: 9783642037511
3642037518
9783642037504
364203750X
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: a9110507
Localizzazioni e accesso elettronico https://stanford.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-642-03751-1
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Altra ed. diverso supporto: Print version: Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics. Springer-Verlag New York Inc 2009 9783642037504 (DLC) 2009932137 (OCoLC)428028791