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Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics

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Cover of 'Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 High-Performance Local Search for Task Scheduling with Human Resource Allocation
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    Chapter 2 On the Use of Run Time Distributions to Evaluate and Compare Stochastic Local Search Algorithms
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    Chapter 3 Estimating Bounds on Expected Plateau Size in MAXSAT Problems
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    Chapter 4 A Theoretical Analysis of the k -Satisfiability Search Space
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    Chapter 5 Loopy Substructural Local Search for the Bayesian Optimization Algorithm
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    Chapter 6 Running Time Analysis of ACO Systems for Shortest Path Problems
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    Chapter 7 Techniques and Tools for Local Search Landscape Visualization and Analysis
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    Chapter 8 High-Performance Local Search for Solving Real-Life Inventory Routing Problems
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    Chapter 9 A Detailed Analysis of Two Metaheuristics for the Team Orienteering Problem
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    Chapter 10 On the Explorative Behavior of MAX–MIN Ant System
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    Chapter 11 A Study on Dominance-Based Local Search Approaches for Multiobjective Combinatorial Optimization
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    Chapter 12 A Memetic Algorithm for the Multidimensional Assignment Problem
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    Chapter 13 Autonomous Control Approach for Local Search
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    Chapter 14 EasyGenetic: A Template Metaprogramming Framework for Genetic Master-Slave Algorithms
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    Chapter 15 Adaptive Operator Selection for Iterated Local Search
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    Chapter 16 Improved Robustness through Population Variance in Ant Colony Optimization
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    Chapter 17 Mixed-Effects Modeling of Optimisation Algorithm Performance
Attention for Chapter 12: A Memetic Algorithm for the Multidimensional Assignment Problem
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Chapter title
A Memetic Algorithm for the Multidimensional Assignment Problem
Chapter number 12
Book title
Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics
Published in
arXiv, September 2009
DOI 10.1007/978-3-642-03751-1_12
Book ISBNs
978-3-64-203750-4, 978-3-64-203751-1
Authors

Gregory Gutin, Daniel Karapetyan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 25%
Other 1 25%
Student > Doctoral Student 1 25%
Unknown 1 25%
Readers by discipline Count As %
Computer Science 2 50%
Engineering 1 25%
Unknown 1 25%