Evolving Multi-line Compilable C Programs
Proceedings of the Second European Workshop on Genetic Programming
Evolution of a Controller with a Free Variable Using Genetic Programming
Proceedings of the European Conference on Genetic Programming
Genetic programming: a paradigm for genetically breeding populations of computer programs to solve problems
An Analysis of Hierarchical Genetic Programming
An Analysis of Hierarchical Genetic Programming
Signal path oriented approach for generation of dynamic process models
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
A note on representations and variation operators
IEEE Transactions on Evolutionary Computation
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When Genetic Programming (GP) is applied to system identification or controller design different codings can be used for internal representation of the individuals. One common approach is a block-oriented representation where nodes of the tree structure directly correspond to blocks in a block diagram. In this paper we present an indirect block-oriented representation, which adopts some aspects of the way humans perform the modelling in order to increase the GP system's performance. A causality measure based on an edit distance is examined to compare the direct an the indirect representation. Finally, results from a real world application of the indirect block-oriented representation are presented.