Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics International Workshop, SLS 2009, Brussels, Belgium, September 3-5, 2009, Proceedings /

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 ap...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Stützle, Thomas (Editor ), Birattari, Mauro (Editor ), Hoos, Holger H. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Edición:1st ed. 2009.
Colección:Theoretical Computer Science and General Issues, 5752
Temas:
Computer programming.
Artificial intelligence-Data processing.
Data structures (Computer science).
Information theory.
Information retrieval.
Computer architecture.
Algorithms.
Computer science.
Programming Techniques.
Data Science.
Data Structures and Information Theory.
Data Storage Representation.
Computer Science Logic and Foundations of Programming.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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