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  1. No Access

    Chapter and Conference Paper

    Toward an Alternative Comparison between Different Genetic Programming Systems

    In this paper, we use multi-objective techniques to compare different genetic programming systems, permitting our comparison to concentrate on the effect of representation and separate out the effects of diffe...

    Nguyen Xuan Hoai, R. I. (Bob) McKay, D. Essam, H. A. Abbass in Genetic Programming (2004)

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    Chapter and Conference Paper

    Tree Adjoining Grammars, Language Bias, and Genetic Programming

    In this paper, we introduce a new grammar guided genetic programming system called tree-adjoining grammar guided genetic programming (TAG3P+), where tree-adjoining grammars (TAGs) are used as means to set lang...

    Nguyen Xuan Hoai, R.I. McKay, H.A. Abbass in Genetic Programming (2003)

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    Article

    C-Net: A Method for Generating Non-deterministic and Dynamic Multivariate Decision Trees

    Despite the fact that artificial neural networks (ANNs) are universal function approximators, their black box nature (that is, their lack of direct interpretability or expressive power) limits their utility. ...

    H. A. Abbass, M. Towsey, G. Finn in Knowledge and Information Systems (2001)

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    Chapter and Conference Paper

    A Memetic Pareto Evolutionary Approach to Artificial Neural Networks

    Evolutionary Artificial Neural Networks (EANN) have been a focus of research in the areas of Evolutionary Algorithms (EA) and Artificial Neural Networks (ANN) for the last decade. In this paper, we present an EAN...

    H.A. Abbass in AI 2001: Advances in Artificial Intelligence (2001)