Fractals everywhere
Computer graphics: principles and practice (2nd ed.)
Computer graphics: principles and practice (2nd ed.)
Fractal image compression
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms
Evolutionary identification of macro-mechanical models
Advances in genetic programming
Advances in genetic programming
Fractal Imaging
Evolution and Optimum Seeking: The Sixth Generation
Evolution and Optimum Seeking: The Sixth Generation
Genetic Programming and Data Structures: Genetic Programming + Data Structures = Automatic Programming!
Automatic Generation of Affine IFS and Strongly Typed Genetic Programming
Proceedings of the Second European Workshop on Genetic Programming
Mixed IFS: Resolution of the Inverse Problem Using Genetic Programming
AE '95 Selected Papers from the European conference on Artificial Evolution
Strongly typed genetic programming
Evolutionary Computation
Evolutionary algorithms in modeling and animation
Handbook of computer animation
EuroGP'07 Proceedings of the 10th European conference on Genetic programming
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Often optimization problems involve the discovery of many scalar coefficients. Although genetic programming (GP) has been applied to the optimization and discovery of functions with an arbitrary number of scalar coefficients, recent results indicate that a method for fine-tuning GP scalar terminals can assist the discovery of solutions. In this paper we demonstrate an approach where genetic programming and evolution strategies (ES) are seamlessly combined. We apply our GP/ES hybrid, which we name Hierarchical Evolution Strategy, to the problem of evolving affine transformations and iterated function systems (IFS). We compare the results of our approach with GP and notice an improvement in performance in terms of discovering bsetter solutions and speed.