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Genetic Programming and Data Structures

Genetic Programming + Data Structures = Automatic Programming!

  • W. B. Langdon

Table of contents

  1. Front Matter
    Pages i-xiii
  2. W. B. Langdon
    Pages 1-7
  3. W. B. Langdon
    Pages 43-59
  4. W. B. Langdon
    Pages 61-80
  5. W. B. Langdon
    Pages 81-122
  6. W. B. Langdon
    Pages 123-142
  7. W. B. Langdon
    Pages 143-166
  8. W. B. Langdon
    Pages 167-208
  9. W. B. Langdon
    Pages 209-212
  10. Back Matter
    Pages 213-279

About this book

Introduction

Computers that `program themselves' has long been an aim of computer scientists. Recently genetic programming (GP) has started to show its promise by automatically evolving programs. Indeed in a small number of problems GP has evolved programs whose performance is similar to or even slightly better than that of programs written by people. The main thrust of GP has been to automatically create functions. While these can be of great use they contain no memory and relatively little work has addressed automatic creation of program code including stored data. This issue is the main focus of Genetic Programming, and Data Structures: Genetic Programming + Data Structures = Automatic Programming!.
This book is motivated by the observation from software engineering that data abstraction (e.g., via abstract data types) is essential in programs created by human programmers. This book shows that abstract data types can be similarly beneficial to the automatic production of programs using GP.
Genetic Programming and Data Structures: Genetic Programming + Data Structures = Automatic Programming! shows how abstract data types (stacks, queues and lists) can be evolved using genetic programming, demonstrates how GP can evolve general programs which solve the nested brackets problem, recognises a Dyck context free language, and implements a simple four function calculator. In these cases, an appropriate data structure is beneficial compared to simple indexed memory. This book also includes a survey of GP, with a critical review of experiments with evolving memory, and reports investigations of real world electrical network maintenance scheduling problems that demonstrate that Genetic Algorithms can find low cost viable solutions to such problems.
Genetic Programming and Data Structures: Genetic Programming + Data Structures = Automatic Programming! should be of direct interest to computer scientists doing research on genetic programming, genetic algorithms, data structures, and artificial intelligence. In addition, this book will be of interest to practitioners working in all of these areas and to those interested in automatic programming.

Keywords

Scheduling algorithms artificial intelligence automatic programming code data structure data structures genetic programming network software engineering

Authors and affiliations

  • W. B. Langdon
    • 1
  1. 1.The University of BirminghamUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4615-5731-9
  • Copyright Information Kluwer Academic Publishers 1998
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-7625-5
  • Online ISBN 978-1-4615-5731-9
  • Series Print ISSN 1566-7863
  • Buy this book on publisher's site