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Linear Genetic Programming

Linear Genetic Programming examines the evolution of imperative computer programs written as linear sequences of instructions. In contrast to functional expressions or syntax trees used in traditional Genetic Programming (GP), Linear Genetic Programming (LGP) employs a linear program structure as ge...

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Main Authors: Brameier, Markus F. (Author, http://id.loc.gov/vocabulary/relators/aut), Banzhaf, Wolfgang. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 2007.
Edition:1st ed. 2007.
Series:Genetic and Evolutionary Computation,
Subjects:
Artificial intelligence.
Computers.
Artificial Intelligence.
Theory of Computation.
Online Access:https://doi.org/10.1007/978-0-387-31030-5
Table of Contents:
  • Fundamental Analysis
  • Basic Concepts of Linear Genetic Programming
  • Characteristics of the Linear Representation
  • A Comparison with Neural Networks
  • Method Design
  • Linear Genetic Operators I — Segment Variations
  • Linear Genetic Operators II — Instruction Mutations
  • Analysis of Control Parameters
  • A Comparison with Tree-Based Genetic Programming
  • Advanced Techniques and Phenomena
  • Control of Diversity and Variation Step Size
  • Code Growth and Neutral Variations
  • Evolution of Program Teams
  • Epilogue.

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