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Artificial Evolution

Overview of attention for book
Cover of 'Artificial Evolution'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 The Multi-Funnel Structure of TSP Fitness Landscapes: A Visual Exploration
  3. Altmetric Badge
    Chapter 2 Approaches for Many-Objective Optimization: Analysis and Comparison on MNK-Landscapes
  4. Altmetric Badge
    Chapter 3 Traffic Signal Optimization: Minimizing Travel Time and Fuel Consumption
  5. Altmetric Badge
    Chapter 4 How to Mislead an Evolutionary Algorithm Using Global Sensitivity Analysis
  6. Altmetric Badge
    Chapter 5 Quasi-random Numbers Improve the CMA-ES on the BBOB Testbed
  7. Altmetric Badge
    Chapter 6 Progressive Differential Evolution on Clustering Real World Problems
  8. Altmetric Badge
    Chapter 7 Distributed Adaptive Metaheuristic Selection: Comparisons of Selection Strategies
  9. Altmetric Badge
    Chapter 8 Combining Mutation and Recombination to Improve a Distributed Model of Adaptive Operator Selection
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    Chapter 9 Parameter Setting for Multicore CMA-ES with Large Populations
  11. Altmetric Badge
    Chapter 10 Towards Human-Competitive Game Playing for Complex Board Games with Genetic Programming
  12. Altmetric Badge
    Chapter 11 SGE: A Structured Representation for Grammatical Evolution
  13. Altmetric Badge
    Chapter 12 Greedy Semantic Local Search for Small Solutions
  14. Altmetric Badge
    Chapter 13 Effects of Cooperation in a Bioinspired Multi-agent Autonomous System for Solving Optimization Problems
  15. Altmetric Badge
    Chapter 14 Novelty-Driven Particle Swarm Optimization
  16. Altmetric Badge
    Chapter 15 How a Model Based on P-temporal Petri Nets Can Be Used to Study Aggregation Behavior
  17. Altmetric Badge
    Chapter 16 A Distributed Hybrid Algorithm for the Graph Coloring Problem
  18. Altmetric Badge
    Chapter 17 Variance Reduction in Population-Based Optimization: Application to Unit Commitment
  19. Altmetric Badge
    Chapter 18 On the Codimension of the Set of Optima: Large Scale Optimisation with Few Relevant Variables
Attention for Chapter 1: The Multi-Funnel Structure of TSP Fitness Landscapes: A Visual Exploration
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Chapter title
The Multi-Funnel Structure of TSP Fitness Landscapes: A Visual Exploration
Chapter number 1
Book title
Artificial Evolution
Published in
Lecture notes in computer science, March 2016
DOI 10.1007/978-3-319-31471-6_1
Book ISBNs
978-3-31-931470-9, 978-3-31-931471-6
Authors

Gabriela Ochoa, Nadarajen Veerapen, Darrell Whitley, Edmund K. Burke, Stéphane Bonnevay, Pierrick Legrand, Nicolas Monmarché, Evelyne Lutton, Marc Schoenauer, Ochoa, Gabriela, Veerapen, Nadarajen, Whitley, Darrell, Burke, Edmund K.

Editors

Stéphane Bonnevay, Pierrick Legrand, Nicolas Monmarché, Evelyne Lutton, Marc Schoenauer

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 46%
Researcher 2 15%
Student > Doctoral Student 1 8%
Lecturer 1 8%
Student > Master 1 8%
Other 1 8%
Unknown 1 8%
Readers by discipline Count As %
Computer Science 7 54%
Engineering 2 15%
Medicine and Dentistry 1 8%
Business, Management and Accounting 1 8%
Unknown 2 15%
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 25 March 2016.
All research outputs
#15,365,885
of 22,858,915 outputs
Outputs from Lecture notes in computer science
#4,648
of 8,127 outputs
Outputs of similar age
#179,376
of 299,860 outputs
Outputs of similar age from Lecture notes in computer science
#81
of 150 outputs
Altmetric has tracked 22,858,915 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 27th percentile – i.e., 27% 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 299,860 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 150 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.