↓ Skip to main content

Genetic Programming

Overview of attention for book
Cover of 'Genetic Programming'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 802.11 De-authentication Attack Detection Using Genetic Programming
  3. Altmetric Badge
    Chapter 2 A Divide & Conquer Strategy for Improving Efficiency and Probability of Success in Genetic Programming
  4. Altmetric Badge
    Chapter 3 A Genetic Programming Approach to Solomonoff’s Probabilistic Induction
  5. Altmetric Badge
    Chapter 4 A Less Destructive, Context-Aware Crossover Operator for GP
  6. Altmetric Badge
    Chapter 5 AQUAGP: Approximate QUery Answers Using Genetic Programming
  7. Altmetric Badge
    Chapter 6 Blindbuilder: A New Encoding to Evolve Lego-Like Structures
  8. Altmetric Badge
    Chapter 7 Dynamic Scheduling with Genetic Programming
  9. Altmetric Badge
    Chapter 8 Emergent Generality of Adapted Locomotion Gaits of Simulated Snake-Like Robot
  10. Altmetric Badge
    Chapter 9 Evolving Crossover Operators for Function Optimization
  11. Altmetric Badge
    Chapter 10 Genetic Programming, Validation Sets, and Parsimony Pressure
  12. Altmetric Badge
    Chapter 11 Genetic Programming
  13. Altmetric Badge
    Chapter 12 Incentive Method to Handle Constraints in Evolutionary Algorithms with a Case Study
  14. Altmetric Badge
    Chapter 13 Iterative Filter Generation Using Genetic Programming
  15. Altmetric Badge
    Chapter 14 Iterative Prototype Optimisation with Evolved Improvement Steps
  16. Altmetric Badge
    Chapter 15 Learning Recursive Functions with Object Oriented Genetic Programming
  17. Altmetric Badge
    Chapter 16 Negative Slope Coefficient: A Measure to Characterize Genetic Programming Fitness Landscapes
  18. Altmetric Badge
    Chapter 17 Population Clustering in Genetic Programming
  19. Altmetric Badge
    Chapter 18 Projecting Financial Data Using Genetic Programming in Classification and Regression Tasks
  20. Altmetric Badge
    Chapter 19 Solving Sudoku with the GAuGE System
  21. Altmetric Badge
    Chapter 20 The Halting Probability in Von Neumann Architectures
  22. Altmetric Badge
    Chapter 21 Using Subtree Crossover Distance to Investigate Genetic Programming Dynamics
  23. Altmetric Badge
    Chapter 22 Characterizing Diversity in Genetic Programming
  24. Altmetric Badge
    Chapter 23 Genetic Programming
  25. Altmetric Badge
    Chapter 24 Design of Robust Communication Systems Using Genetic Algorithms
  26. Altmetric Badge
    Chapter 25 Developmental Evaluation in Genetic Programming: The Preliminary Results
  27. Altmetric Badge
    Chapter 26 Evolving Noisy Oscillatory Dynamics in Genetic Regulatory Networks
  28. Altmetric Badge
    Chapter 27 Information-Dependent Switching of Identification Criteria in a Genetic Programming System for System Identification
  29. Altmetric Badge
    Chapter 28 Genetic Programming
  30. Altmetric Badge
    Chapter 29 On the Locality of Grammatical Evolution
  31. Altmetric Badge
    Chapter 30 Optimizing the Initialization of Dynamic Decision Heuristics in DPLL SAT Solvers Using Genetic Programming
  32. Altmetric Badge
    Chapter 31 P-CAGE: An Environment for Evolutionary Computation in Peer-to-Peer Systems
  33. Altmetric Badge
    Chapter 32 Positional Independence and Recombination in Cartesian Genetic Programming
Attention for Chapter 19: Solving Sudoku with the GAuGE System
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
24 Mendeley
citeulike
2 CiteULike
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
Solving Sudoku with the GAuGE System
Chapter number 19
Book title
Genetic Programming
Published in
Lecture notes in computer science, April 2006
DOI 10.1007/11729976_19
Book ISBNs
978-3-54-033143-8, 978-3-54-033144-5
Authors

Nicolau, Miguel, Ryan, Conor, Miguel Nicolau, Conor Ryan

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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 4%
United States 1 4%
Colombia 1 4%
Italy 1 4%
Unknown 20 83%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 29%
Researcher 4 17%
Professor > Associate Professor 3 13%
Student > Ph. D. Student 3 13%
Student > Doctoral Student 1 4%
Other 2 8%
Unknown 4 17%
Readers by discipline Count As %
Computer Science 14 58%
Engineering 2 8%
Biochemistry, Genetics and Molecular Biology 1 4%
Medicine and Dentistry 1 4%
Decision Sciences 1 4%
Other 0 0%
Unknown 5 21%
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 06 February 2017.
All research outputs
#20,721,996
of 23,321,213 outputs
Outputs from Lecture notes in computer science
#7,032
of 8,159 outputs
Outputs of similar age
#65,023
of 67,005 outputs
Outputs of similar age from Lecture notes in computer science
#25
of 26 outputs
Altmetric has tracked 23,321,213 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 8,159 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. 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 67,005 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 26 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.