Evolving java objects using a grammar-based approach

  • Authors:

  • Yandu Oppacher;Franz Oppacher;Dwight Deugo

  • Affiliations:

  • Carleton University, Ottawa, ON, Canada;Carleton University, Ottawa, ON, Canada;Carleton University, Ottawa, ON, Canada

  • Venue:
  • Proceedings of the 11th Annual conference on Genetic and evolutionary computation
  • Year:
  • 2009

  • Basic object oriented genetic programming

    IEA/AIE'11 Proceedings of the 24th international conference on Industrial engineering and other applications of applied intelligent systems conference on Modern approaches in applied intelligence - Volume Part I

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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.