Genetic Programming Theory and Practice II

N/ACitations
Citations of this article
39Readers
Mendeley users who have this article in their library.
Get full text

Abstract

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. 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. 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 is the main focus Genetic Programming and Data Structures: Genetic Programming + Data Structures = Automatic Programming! addresses. 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 -- A. Number of Fitness Evaluations Required -- B. Glossary -- C. Scheduling Planned Maintenance of the National Grid -- D. Implementation.

Cite

CITATION STYLE

APA

Genetic Programming Theory and Practice II. (2005). Genetic Programming Theory and Practice II. Springer-Verlag. https://doi.org/10.1007/b101112

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free