# KULeuven-CS/Genetic-Algorithms

Genetic Algorithms and Evolutionary Computing (B-KUL-H02D1A)
Switch branches/tags
Nothing to show
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Type Name Latest commit message Commit time
Failed to load latest commit information.
subfiles
.gitignore
.latex.yml
main.bib
main.tex
print.tex

# Genetic Algorithms

Genetic Algorithms and Evolutionary Computing (B-KUL-H02D1A)

## PDF

Please star this repository if you found its content useful!

This document comes as is, without any warranties.

### Printing

The paper size of this document is A5 to allow easy side-by-side printing. The file print.tex arranges the pages to be printed properly. However, because this requires the compiled pdf main.pdf, it cannot be automatically generated here. You are required to clone the repository locally, compile main.tex followed by compiling print.tex.

## Papers

• M. J. S. John R. Koza Martin A. Keane, “Evolving inventions”, Scientific American, no. 288, pp. 52–59, 2003.
• Z. Michalewicz, Genetic Algorithms + Data Structures = Evolution Programs (3rd Ed.) London, UK, UK: Springer-Verlag, 1996, isbn: 3-540-60676-9.
• K. Sims, “Evolving 3d morphology and behavior by competition”, Artif. Life, vol. 1, no. 4, pp. 353–372, 1994, issn: 1064-5462.
• D. Floreano, L. Keller, and D. N. Deorum, Evolution of adaptive behaviour in robots by means of darwinian selection, 2010.
• C. Janikow, “A knowledge-intensive genetic algorithm for supervised learning”, English, Machine Learning, vol. 13, no. 2-3, pp. 189–228, 1993, issn: 0885-6125. doi: 10.1007/BF00993043.
• W. Spears and K. De Jong, “Using genetic algorithms for supervised concept learning”, in Tools for Artificial Intelligence, 1990.,Proceedings of the 2nd International IEEE Conference on, 1990, pp. 335–341. doi: 10. 1109/TAI.1990.130359.
• J. Grefenstette, “Optimization of control parameters for genetic algorithms”, Systems, Man and Cybernet- ics, IEEE Transactions on, vol. 16, no. 1, pp. 122–128, 1986, issn: 0018-9472. doi: 10.1109/TSMC.1986. 289288.
• B. McGinley, J. Maher, C. O’Riordan, and F. Morgan, “Maintaining healthy population diversity using adaptive crossover, mutation, and selection”, Evolutionary Computation, IEEE Transactions on, vol. 15, no. 5, pp. 692–714, 2011, issn: 1089-778X. doi: 10.1109/TEVC.2010.2046173.

## Conventions

• Please limit lines at 120 characters
• Please use \autoref instead of \ref
• Be consistent with the existing source