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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 On the Design of a Master-Worker Adaptive Algorithm Selection Framework
  3. Altmetric Badge
    Chapter 2 Comparison of Acceptance Criteria in Randomized Local Searches
  4. Altmetric Badge
    Chapter 3 A Fitness Landscape View on the Tuning of an Asynchronous Master-Worker EA for Nuclear Reactor Design
  5. Altmetric Badge
    Chapter 4 Sampled Walk and Binary Fitness Landscapes Exploration
  6. Altmetric Badge
    Chapter 5 Semantics-Based Crossover for Program Synthesis in Genetic Programming
  7. Altmetric Badge
    Chapter 6 On the Use of Dynamic GP Fitness Cases in Static and Dynamic Optimisation Problems
  8. Altmetric Badge
    Chapter 7 MEMSA: A Robust Parisian EA for Multidimensional Multiple Sequence Alignment
  9. Altmetric Badge
    Chapter 8 Basic, Dual, Adaptive, and Directed Mutation Operators in the Fly Algorithm
  10. Altmetric Badge
    Chapter 9 A New High-Level Relay Hybrid Metaheuristic for Black-Box Optimization Problems
  11. Altmetric Badge
    Chapter 10 Improved Hybrid Iterative Tabu Search for QAP Using Distance Cooperation
  12. Altmetric Badge
    Chapter 11 H-ACO: A Heterogeneous Ant Colony Optimisation Approach with Application to the Travelling Salesman Problem
  13. Altmetric Badge
    Chapter 12 Evolutionary Learning of Fire Fighting Strategies
  14. Altmetric Badge
    Chapter 13 Evolutionary Optimization of Tone Mapped Image Quality Index
  15. Altmetric Badge
    Chapter 14 LIDeOGraM: An Interactive Evolutionary Modelling Tool
  16. Altmetric Badge
    Chapter 15 Automatic Configuration of GCC Using Irace
  17. Altmetric Badge
    Chapter 16 Offline Learning for Selection Hyper-heuristics with Elman Networks
Attention for Chapter 3: A Fitness Landscape View on the Tuning of an Asynchronous Master-Worker EA for Nuclear Reactor Design
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Chapter title
A Fitness Landscape View on the Tuning of an Asynchronous Master-Worker EA for Nuclear Reactor Design
Chapter number 3
Book title
Artificial Evolution
Published in
arXiv, October 2017
DOI 10.1007/978-3-319-78133-4_3
Book ISBNs
978-3-31-978132-7, 978-3-31-978133-4
Authors

Mathieu Muniglia, Sébastien Verel, Jean-Charles Le Pallec, Jean-Michel Do, Muniglia, Mathieu, Verel, Sébastien, Le Pallec, Jean-Charles, Do, Jean-Michel

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Student > Master 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Engineering 1 50%
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 26 July 2021.
All research outputs
#18,645,475
of 23,098,660 outputs
Outputs from arXiv
#540,748
of 949,713 outputs
Outputs of similar age
#251,289
of 328,043 outputs
Outputs of similar age from arXiv
#16,470
of 21,998 outputs
Altmetric has tracked 23,098,660 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 949,713 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
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We're also able to compare this research output to 21,998 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.