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Genetic Programming and Data Structures William B. Langdon

Genetic Programming and Data Structures By William B. Langdon

Genetic Programming and Data Structures by William B. Langdon


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Summary

Shows how abstract data types can be evolved using genetic programming. This book demonstrates how genetic programming (GP) can evolve general programs which solve the nested brackets problem. It offers a survey of GP and a review of experiments with evolving memory. It is intended for computer scientists doing research on genetic programming.

Genetic Programming and Data Structures Summary

Genetic Programming and Data Structures: Genetic Programming + Data Structures = Automatic Programming! by William B. Langdon

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.

Genetic Programming and Data Structures Reviews

`The book is nicely produced ... and well illustrated. The text is well written and is easy to read and understand. The concepts in genetic programming are well presented, as are those in genetic algorithms. The references are selected to be useful. People of a non-mathematical disposition will find few problems in reading this book.'
Robotica, 17 (1999)

Table of Contents

Foreword. Preface. 1. Introduction. 2. Survey. 3. Advanced Genetic Programming Techniques. 4. Evolving a Stack. 5. Evolving a Queue. 6. Evolving a List. 7. Problems Solved Using Data Structures. 8. Evolution of GP Populations. 9. Conclusions. Appendices: A. Number of Fitness Evaluations Required. B. Glossary. C. Scheduling Planned Maintenance of the National Grid. D. Implementation. Index.

Additional information

NPB9780792381358
9780792381358
0792381351
Genetic Programming and Data Structures: Genetic Programming + Data Structures = Automatic Programming! by William B. Langdon
New
Hardback
Springer
1998-04-30
279
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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Customer Reviews - Genetic Programming and Data Structures