• Title: Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications
• Author(s) Michael Affenzeller, Stefan Wagner, Stephan Winkler, Andreas Beham
• Publisher: Chapman and Hall/CRC; 1st edition (April 16, 2018); eBook (Creative Commons Licensed)
• License(s): Creative Commons License (CC)
• Paperback: 379 pages
• eBook: PDF
• Language: English
• ISBN-10: 1138114278
• ISBN-13: 978-1138114272
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Book Description

This book discusses algorithmic developments in the context of Genetic Algorithms (GAs) and Genetic Programming (GP). It applies the algorithms to significant combinatorial optimization problems and describes structure identification using HeuristicLab as a platform for algorithm development.

• Jason Brownlee, Ph.D. helps Python developers bring modern concurrency methods to their projects with hands-on tutorials.

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• Algorithms and Data Structures
• Operations Research (OR), Optimization, and Approximation
• Machine Learning

• Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications
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