Genetic Programming Theory and Practice XX
Author:   Stephan Winkler ,  Leonardo Trujillo ,  Charles Ofria ,  Ting Hu
Publisher:   Springer Verlag, Singapore
Edition:   1st ed. 2024
ISBN:  

9789819984121


Pages:   337
Publication Date:   17 February 2024
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Our Price $310.47 Quantity:  
Add to Cart

Share |

Genetic Programming Theory and Practice XX


Add your own review!

Overview

Genetic Programming Theory and Practice brings together some of the most impactful researchers in the field of Genetic Programming (GP), each one working on unique and interesting intersections of theoretical development and practical applications of this evolutionary-based machine learning paradigm. Topics of particular interest for this year’s book include powerful modeling techniques through GP-based symbolic regression, novel selection mechanisms that help guide the evolutionary process, modular approaches to GP, and applications in cybersecurity, biomedicine, and program synthesis, as well as papers by practitioner of GP that focus on usability and real-world results. In summary, readers will get a glimpse of the current state of the- art in GP research.

Full Product Details

Author:   Stephan Winkler ,  Leonardo Trujillo ,  Charles Ofria ,  Ting Hu
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   1st ed. 2024
Weight:   0.685kg
ISBN:  

9789819984121


ISBN 10:   9819984122
Pages:   337
Publication Date:   17 February 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Chapter 1. Symbolic Regression and Real World Applications.- Chapter 2. Program Synthesis with GP plus others.- Chapter 3. Machine learning and GP.- Chapter 4. Grammatical Evolution and Medical Applications of GP.- Chapter 5. Evolved Analytics LLC, Efficient Real-World Problem Solving with Genetic Programming.- Chapter 6. Automatic Machine Learning with GP.- Chapter 7. GP and Cybersecurity.- Transfer Learning and GP.- Chapter 8. Selection Mechanisms in Genetic Programming.- Chapter 9. Evolutionary Computation and Machine Learning.

Reviews

Author Information

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions
Latest Reading Guide

MRG2025CC

 

Shopping Cart
Your cart is empty
 Shopping cart
Mailing List

 

Sign up now