- author = "Markus Brameier and Wolfgang Banzhaf",
- title = "Linear Genetic Programming",
- publisher = "Springer",
- year = "2007",
- number = "XVI",
- series = "Genetic and Evolutionary Computation",
- keywords = "genetic algorithms, genetic programming, Step Size Control, Syntax, algorithms, code growth, diversity control, evolutionary algorithm, genetic operators, learning, machine learning, neutral variations, optimisation, programming",
- ISSN = "1932-0167",
- ISBN = "0-387-31029-0",
-
DOI = "
doi:10.1007/978-0-387-31030-5",
-
abstract = "Table of contents
Preface, About the Authors, Acknowledgments, Introduction, I Fundamental Analyses: Basic Concepts, Representation Characteristics, A Comparison with Neural Networks, II Method Design: Segment Variations, Instruction Mutations, Analysis of Control Parameters, A Comparison with Tree-Based GP, III Advanced Techniques and Phenomena: Control of Diversity and Step Size, Code Growth and Neutral Variations, Evolution of Program Teams, References, Index.",
- size = "Approx. 320 pages",
