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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.).

By: Contributor(s): Material type: TextTextSeries: Lecture notes in computer science ; 5752.Publication details: Berlin ; Heidelberg : Springer-Verlag, ©2009.Description: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783642037511
  • 3642037518
  • 9783642037504
  • 364203750X
Other title:
  • SLS 2009
Subject(s): Genre/Form: Additional physical formats: Print version:: Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics.DDC classification:
  • 005.1 22
LOC classification:
  • QA76.9.A43 S57 2009
NLM classification:
  • QA 76.9.A43
Other classification:
  • 54.10
  • 54.51
  • TP301. 6-532
Online resources:
Contents:
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.
Summary: 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.
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International conference proceedings.

Includes index.

Print version record.

Includes bibliographical references and index.

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.

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.

English.

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