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Evolving java objects using a grammar-based approach

Authors:

Yandu Oppacher,

Franz Oppacher,

Dwight DeugoAuthors Info & Claims

GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation

Pages 1891 - 1892

https://doi.org/10.1145/1569901.1570220

Published: 08 July 2009 Publication History

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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

[1]

R. Abbott, J. Guo, and B. Parviz. Guided genetic programming. In The 2003 International Conference on Machine Learning; Models, Technologies and Applications (MLMTA'03), las Vegas, 23--26 June 2003. CSREA Press.

Google Scholar

[2]

A. Agapitos and S. M. Lucas. Learning recursive functions with ob ject oriented genetic programming. In P. Collet, M. Tomassini, M. Ebner, S. Gustafson, and A. Ekart, editors, Proceedings of the 9th European Conference on Genetic Programming, volume 3905 of Lecture Notes in Computer Science, pages 166--177, Budapest, Hungary, 10 -- 12 Apr. 2006. Springer.

Digital Library

Google Scholar

[3]

E. Gamma, R. Helm, R. Johnson, and J. Vlissides. Design patterns: elements of reusable object-oriented software. Addison-Wesley Professional, 1995.

Digital Library

Google Scholar

[4]

M. O'Neill and C. Ryan. Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language. Kluwer Academic Publishers, Norwell, MA, USA, 2003.

Digital Library

Google Scholar

[5]

D. Sosnoski. Java programming dynamics, part 2: Introducing reflection. 15 September 2008 http://www.ibm.com/developerworks/java/library/j-dyn0603/, 06 2003.

Google Scholar

Cited By

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Garrow FLones MStewart RWagner M(2022)Why functional program synthesis matters (in the realm of genetic programming)Proceedings of the Genetic and Evolutionary Computation Conference Companion10.1145/3520304.3534045(1844-1853)Online publication date: 9-Jul-2022
https://dl.acm.org/doi/10.1145/3520304.3534045
Brownlee ABurles NSwan J(2017)Search-Based Energy Optimization of Some Ubiquitous AlgorithmsIEEE Transactions on Emerging Topics in Computational Intelligence10.1109/TETCI.2017.26991931:3(188-201)Online publication date: Jun-2017
https://doi.org/10.1109/TETCI.2017.2699193
Burles NBowles EBrownlee AKocsis ZSwan JVeerapen N(2015)Object-Oriented Genetic Improvement for Improved Energy Consumption in Google GuavaSearch-Based Software Engineering10.1007/978-3-319-22183-0_20(255-261)Online publication date: 28-Jul-2015
https://doi.org/10.1007/978-3-319-22183-0_20
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Index Terms

Evolving java objects using a grammar-based approach
1. Theory of computation
  1. Semantics and reasoning
    1. Program constructs
      1. Object oriented constructs

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Published In

GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation

July 2009

2036 pages

ISBN:9781605583259

DOI:10.1145/1569901

General Chair:
Franz Rothlauf
University of Mainz, Germany

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Association for Computing Machinery

New York, NY, United States

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Published: 08 July 2009

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GECCO09: Genetic and Evolutionary Computation Conference

July 8 - 12, 2009

Québec, Montreal, Canada

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Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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Garrow FLones MStewart RWagner M(2022)Why functional program synthesis matters (in the realm of genetic programming)Proceedings of the Genetic and Evolutionary Computation Conference Companion10.1145/3520304.3534045(1844-1853)Online publication date: 9-Jul-2022
https://dl.acm.org/doi/10.1145/3520304.3534045
Brownlee ABurles NSwan J(2017)Search-Based Energy Optimization of Some Ubiquitous AlgorithmsIEEE Transactions on Emerging Topics in Computational Intelligence10.1109/TETCI.2017.26991931:3(188-201)Online publication date: Jun-2017
https://doi.org/10.1109/TETCI.2017.2699193
Burles NBowles EBrownlee AKocsis ZSwan JVeerapen N(2015)Object-Oriented Genetic Improvement for Improved Energy Consumption in Google GuavaSearch-Based Software Engineering10.1007/978-3-319-22183-0_20(255-261)Online publication date: 28-Jul-2015
https://doi.org/10.1007/978-3-319-22183-0_20
White TFan JOppacher F(2011)Basic object oriented genetic programmingProceedings of the 24th international conference on Industrial engineering and other applications of applied intelligent systems conference on Modern approaches in applied intelligence - Volume Part I10.5555/2025756.2025766(59-68)Online publication date: 28-Jun-2011
https://dl.acm.org/doi/10.5555/2025756.2025766
White TFan JOppacher F(2011)Basic Object Oriented Genetic ProgrammingModern Approaches in Applied Intelligence10.1007/978-3-642-21822-4_7(59-68)Online publication date: 2011
https://doi.org/10.1007/978-3-642-21822-4_7

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A Teaching Path for Java Object Oriented Programming

Using and Understanding Java Data Objects

Empirical study of novice programming with plans and objects

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