Processing ......
FreeComputerBooks.com
Links to Free Computer, Mathematics, Technical Books all over the World
 
A Field Guide to Genetic Programming
网址居 (LinkBasket) - 中英文全球新闻一网打尽!.
  • Title A Field Guide to Genetic Programming
  • Author(s) Riccardo Poli, William Langdon, Nicholas McPhee
  • Publisher: Lulu Enterprises, UK Ltd (March 26, 2008)
  • License(s): Attribution-NonCommercial-NoDerivs 2.0 UK: England & Wales (CC BY-NC-ND 2.0 UK)
  • Paperback 252 pages
  • Language: English
  • ISBN-10: 1409200736
  • ISBN-13: 978-1409200734
  • Share This:  

Book Description

This book to provides a complete and coherent review of the theory of Genetic Programming (GP). This unique overview of this exciting technique is written by three of the most active scientists in GP.

Genetic Programming (GP) is a systematic, domain-independent method for getting computers to solve problems automatically starting from a high-level statement of what needs to be done. Using ideas from natural evolution, GP starts from an ooze of random computer programs, and progressively refines them through processes of mutation and sexual recombination, until high-fitness solutions emerge.

All this without the user having to know or specify the form or structure of solutions in advance. GP has generated a plethora of human-competitive results and applications, including novel scientific discoveries and patentable inventions. This unique overview of this exciting technique is written by three of the most active scientists in GP.

About the Authors
  • N/A
Reviews, Ratings, and Recommendations: Related Book Categories: Read and Download Links: Similar Books:
  • Genetic Algorithms in Applications (Rustem Popa)

    This well-organized book takes the reader through the new and rapidly expanding field of genetic algorithms step by step, from a discussion of numerical optimization, to a survey of current extensions to genetic algorithms and applications.

  • Real-World Applications of Genetic Algorithms (Olympia Roeva)

    This book presents hybrid techniques based on Artificial Neural Network, Fuzzy Sets, Automata Theory, other metaheuristic or classical algorithms, etc. It examines various examples of algorithms in different real-world application domains.

  • Genetic and Evolutionary Computation for Image Processing

    Image analysis and processing is steadily gaining relevance within the large number of application fields to which genetic and evolutionary computation (GEC) techniques are applied. This book is the first attempt to offer a panoramic view on the field.

  • Genetic Programming - New Approaches & Successful Applications

    The purpose of this book is to show recent advances in the field of Genetic programming, both the development of new theoretical approaches and the emergence of applications that have successfully solved different real world problems.

  • Essentials of Metaheuristics (Sean Luke)

    This book is an open set of lecture notes on metaheuristics algorithms. The algorithmic family includes genetic algorithms, hill-climbing, simulated annealing, ant colony optimization, particle swarm optimization, and so on.

  • Bio-Inspired Computational Algorithms and Their Applications

    Bio-inspired computational algorithms are always topics in artificial intelligence. Integrates contrasting techniques of genetic algorithms, artificial immune systems, particle swarm optimization, and hybrid models to solve many real-world problems.

  • Evolutionary Algorithms (Eisuke Kita)

    The goal of this book is to provide effective evolutionary algorithms that have been used as an experimental framework within biological evolution and natural selection in the field of artificial life.

  • Advances in Evolutionary Algorithms (Witold Kosinski)

    Provide effective optimization algorithms for solving a broad class of problems quickly, accurately, and reliably by employing evolutionary mechanisms.

  • Global Optimization Algorithms - Theory and Application

    This book is devoted to global optimization algorithms, which are methods to find optimal solutions for given problems. It especially focuses on Evolutionary Computation by discussing evolutionary algorithms, genetic algorithms, Genetic Programming, etc.

Book Categories
:
Other Categories
Resources and Links