Evolving java objects using a grammar-based approach

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Evolving java objects using a grammar-based approach

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Genetic And Evolutionary Computation Conference archive
Proceedings of the 11th Annual conference on Genetic and evolutionary computation table of contents

Montreal, Québec, Canada

POSTER SESSION: Track 10: genetic programming table of contents

Pages 1891-1892

Year of Publication: 2009

ISBN:978-1-60558-325-9

Authors

Yandu Oppacher	Carleton University, Ottawa, ON, Canada
Franz Oppacher	Carleton University, Ottawa, ON, Canada
Dwight Deugo	Carleton University, Ottawa, ON, Canada

Sponsors

SIGEVO: ACM Special Interest Group on Genetic and Evolutionary Computation
ACM: Association for Computing Machinery

Publisher

ACM New York, NY, USA

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ABSTRACT

Grammar-Based Object Oriented Genetic Programming leverages the Object Oriented programming paradigm in evolutionary computation. The difference between this approach and others is that the resulting solution is a syntactically correct and executable Java program. Candidate solutions are created and tested against a JUnit test suite. Evolved solutions incorporate useful Object Oriented patterns. To create and compile the Java classes a new framework for Grammar-Based Genetic Programming has been created. The framework is entirely written in Java. By externally compiling and then loading the classes into the framework for testing true object-oriented encapsulation is achieved. For the first time state and behaviour can be passed around as an object.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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