Get Free Shipping on orders over $79
Artificial Evolution : 16th International Conference, volution Artificielle, EA 2024, Bordeaux, France, October 29-31, 2024, Revised Selected Papers - Pierrick Legrand
eTextbook alternate format product

Instant online reading.
Don't wait for delivery!

Go digital and save!

Artificial Evolution

16th International Conference, volution Artificielle, EA 2024, Bordeaux, France, October 29-31, 2024, Revised Selected Papers

By: Pierrick Legrand (Editor), Arnaud Liefooghe (Editor), Julien Lepagnot (Editor)

Paperback | 17 December 2025

At a Glance

Paperback


$199.75

or 4 interest-free payments of $49.94 with

 or 

Ships in 5 to 7 business days

This book constitutes the refereed post-conference proceedings of the 16th International Conference on Artificial Evolution, EA 2024, held in Bordeaux, France, during October 29–31, 2024.

The 16 full papers were carefully reviewed and selected from 30 submissions. The papers cover a wide range of topics in the field of artificial evolution, including Algorithmics and Modeling, Implementations, Application of Evolutionary Paradigms to the Real World industry, biosciences, Machine Learning and hybridization with other soft computing techniques.

More in Artificial Intelligence

AI for Business : A Guide to AI Adoption - Jon Whittle

RRP $49.99

$40.75

18%
OFF
Creative Machines : AI, Art & Us - Maya Ackerman

RRP $57.95

$44.75

23%
OFF
Machine Learning For Dummies : For Dummies (Computer/Tech) - Luca Massaron
New Beginnings : why change is so difficult and how to achieve it - Stefan Klein
The Tech Coup : How to Save Democracy from Silicon Valley - Marietje Schaake
The Singularity is Nearer : When We Merge with AI - Ray Kurzweil

RRP $26.99

$22.99

15%
OFF
Artificial Intelligence : A Modern Approach, 4th Global Edition - Peter Norvig
Genesis : Artificial Intelligence, Hope, and the Human Spirit - Eric Schmidt
The Shortest History of AI - Toby Walsh

RRP $27.99

$22.75

19%
OFF
Life 3.0 : Being Human in the Age of Artificial Intelligence - Max Tegmark
Handbook of Reinforcement Learning - Todd Mcmullen