5 research outputs found

    Graph-Based Evolution of Visual Languages

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    Abstract. We present a novel evolutionary engine for the evolution of context free grammars. The system relies on specially designed graph-based crossover and mutation operators. While in most evolutionary art systems each individual corresponds to a single artwork, in our approach each individual is a context free grammar that specifies a family of shapes following the same production rules. To assess the adequacy and com-pleteness of the system we perform experiments using automated fitness assignment and user-guided evolution. The experimental results show that the system is able to create diverse and interesting families of shapes even when the initial population is composed of minimal grammars.

    Molecular Hybridization as a Tool for Designing Multitarget Drug Candidates for Complex Diseases

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    The Sixth Problem of Generalized Algebraic Regression

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