↓ Skip to main content

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

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

Table of Contents

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

Mentioned by

facebook
1 Facebook page

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
12 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
A Study on Dominance-Based Local Search Approaches for Multiobjective Combinatorial Optimization
Chapter number 11
Book title
Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics
Published in
Lecture notes in computer science, January 2009
DOI 10.1007/978-3-642-03751-1_11
Book ISBNs
978-3-64-203750-4, 978-3-64-203751-1
Authors

Arnaud Liefooghe, Salma Mesmoudi, Jérémie Humeau, Laetitia Jourdan, El-Ghazali Talbi

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 8%
Unknown 11 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 33%
Student > Ph. D. Student 3 25%
Professor 1 8%
Lecturer > Senior Lecturer 1 8%
Professor > Associate Professor 1 8%
Other 0 0%
Unknown 2 17%
Readers by discipline Count As %
Computer Science 6 50%
Engineering 2 17%
Neuroscience 1 8%
Unknown 3 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 May 2012.
All research outputs
#20,157,329
of 22,665,794 outputs
Outputs from Lecture notes in computer science
#6,984
of 8,123 outputs
Outputs of similar age
#163,019
of 168,719 outputs
Outputs of similar age from Lecture notes in computer science
#149
of 177 outputs
Altmetric has tracked 22,665,794 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,123 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 168,719 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 177 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.