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Maximum margin decision surfaces for increased generalisation in evolutionary decision tree learning (Springer, 2011-04-27)Decision tree learning is one of the most widely used and practical methods for inductive inference. We present a novel method that increases the generalisation of genetically-induced classification trees, which employ ...
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(ACM, 2011-07-12)The application of a genotype-phenotype mapping in Evolutionary Computation is not a new idea, however, how this mapping process is interpreted, and implemented varies wildly. In the majority of cases a very simple abstraction ...
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(University College Dublin. School of Computer Science and Informatics, 2011)We present a study of dynamic environments with genetic programming to ascertain if a dynamic environment can speed up evolution when compared to an equivalent static environment. We present an analysis of the types of ...
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(University College Dublin, 2010)
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(Elsevier, 2010-05)Quantifying uncertainty in flood forecasting is a difficult task, given the multiple and strongly nonlinear model components involved in such a system. Much effort has been and is being invested in the quest of dealing ...
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(Springer, 2011-04-27)This paper investigates the applicability of Genetic Programming type systems to dynamic game environments. Grammatical Evolution was used to evolve Behaviour Trees, in order to create controllers for the Mario AI Benchmark. ...
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(ACM, 2011-07-12)This paper is concerned with the effect of the grammar type on grammatical evolution when evolving in dynamic environments. Both representation and dynamic environments have been recognised as important open issues in the ...
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(ACM, 2011)We present a novel application of Grammatical Evolution to the real-world application of femtocell coverage. A symbolic regression approach is adopted in which we wish to uncover an expression to automatically manage the ...
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(University College Dublin. School of Computer Science and Informatics, 2011-04-12)In this paper we explore different techniques that allow the user to direct interactive evolutionary search. Broadening interaction beyond simple evaluation increases the amount of feedback and bias a user can apply to the ...