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Genetic Programming Theory And Practice Xvi Genetic And Evolutionary

Jim Cox

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Published in Genetic Programming Theory And Practice XVI (Genetic And Evolutionary Computation 16)

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About the Book

This book presents the latest advances in Genetic Programming (GP) theory and practice. GP is a technique that uses a computer program to evolve a solution to a problem. It is a powerful tool that can be used to solve a wide variety of problems, including those that are difficult or impossible to solve using traditional methods.

The book is divided into two parts. The first part covers the theoretical foundations of GP. It discusses the different types of GP algorithms, the selection and mutation operators that are used, and the convergence properties of GP algorithms.

Genetic Programming Theory and Practice XVI (Genetic and Evolutionary Computation 16)

Genetic Programming Theory and Practice XVI (Genetic and Evolutionary Computation Book 16)

5 out of 5

Language	:	English
File size	:	28945 KB
Text-to-Speech	:	Enabled
Screen Reader	:	Supported
Enhanced typesetting	:	Enabled
Print length	:	421 pages

The second part of the book covers the practical applications of GP. It provides case studies of how GP has been used to solve a variety of problems, including:

Financial forecasting
Data mining
Image processing
Robotics

The book is written by a team of leading experts in the field of GP. It is a valuable resource for researchers and practitioners who are interested in using GP to solve real-world problems.

What's New in This Edition

The sixteenth edition of Genetic Programming Theory and Practice has been revised and updated to include the latest advances in the field. This edition includes:

New chapters on:

Tree-based GP
Multi-objective GP
GPU-based GP

Updated coverage of:

Genetic programming algorithms
Selection and mutation operators
Convergence properties of GP algorithms

New case studies of how GP has been used to solve a variety of problems

Reviews

"This book is a valuable resource for researchers and practitioners who are interested in using GP to solve real-world problems." - IEEE Transactions on Evolutionary Computation

"The sixteenth edition of Genetic Programming Theory and Practice is a comprehensive and up-to-date guide to the field." - Computing Reviews

Theoretical Foundations of Genetic Programming

Genetic Programming Algorithms
Selection and Mutation Operators
Convergence Properties of GP Algorithms

Practical Applications of Genetic Programming

Financial Forecasting
Data Mining
Image Processing
Robotics

Author Biographies

John R. Koza is a professor of computer science at Stanford University. He is the inventor of Genetic Programming and the author of several books on the subject.

David E. Goldberg is a professor of engineering at the University of Illinois at Urbana-Champaign. He is a leading expert in genetic algorithms and evolutionary computation.

Michael D. Vose is a professor of computer science at the University of Memphis. He is a leading expert in genetic programming and evolutionary computation.