• Menu
  • Skip to right header navigation
  • Skip to main content
  • Skip to secondary navigation
  • Skip to primary sidebar

OnlineProgrammingBooks.com

Legally Free Computer Books

  • All Categories
  • All Books
  • All Categories
  • All Books
  • About Us
  • Privacy policy
  • Disclaimer
  • Subscribe
  • Contact
You are here: Home ▶ AI and Robotics ▶ A Field Guide to Genetic Programming

A Field Guide to Genetic Programming

March 24, 2006

A Field Guide to Genetic Programming

A Field Guide to Genetic Programming is an introduction to genetic programming (GP). 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.

Book Description

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 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.

Table of Contents

  • Introduction
  • Representation, Initialisation and Operators in Tree-based GP
  • Getting Ready to Run Genetic Programming
  • Example Genetic Programming Run
  • Alternative Initialisations and Operators in Tree-based GP
  • Modular, Grammatical and Developmental Tree-based GP
  • Linear and Graph Genetic Programming
  • Probabilistic Genetic Programming
  • Multi-objective Genetic Programming
  • Fast and Distributed Genetic Programming
  • GP Theory and its Applications
  • Applications
  • Troubleshooting GP

Download Free PDF / Read Online

Author(s): Riccardo Poli, William B. Langdon, Nicholas F. McPhee and John R. Koza.
Publisher: Lulu Enterprises
Format(s): PDF
File size: 3.68 MB
Number of pages: 250
Link: Download.

Similar Books:

  1. Advances in Evolutionary Algorithms
  2. Guide to Prolog Programming
  3. Object-Oriented Programming with Objective-C
  4. Greedy Algorithms
  5. Simulated Annealing
Previous Post: « Neural Networks in Hardware
Next Post: OpenGL ES Programming Guide for iPhone OS »

Primary Sidebar

Get Latest Updates

  • Facebook
  • Pinterest
  • RSS
  • Twitter
  • YouTube
  • About Us
  • Privacy policy
  • Disclaimer
  • Subscribe
  • Contact

Copyright © 2006–2023 OnlineProgrammingBooks.com