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(IEEE, 2011-08-31)This paper presents an approach to the Mario AI Benchmark problem, using the A* algorithm for navigation, and an evolutionary process combining routines for the reactiveness of the resulting bot. The Grammatical Evolution ...
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(Springer, 2011-04-27)We present an analysis of how the genotype-phenotype map in Grammatical Evolution (GE) can effect performance on the Max Problem. Earlier studies have demonstrated a performance decrease for Position independent Grammatical ...
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(IEEE, 2011-10-14)Although many real world problems are dynamic in nature, the study of Genetic Programming in dynamic environments is still immature. This paper investigates the application of some recently proposed semantic-based crossover ...
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(ACM, 2011-07-12)Modularity has proven to be an important aspect of evolutionary computation. This work is concerned with discovering and using modules in one form of grammar-based genetic programming, grammatical evolution (GE). Previous ...
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(University College Dublin. School of Computer Science and Informatics, 2011-04-14)In this paper we present a new variant of the ant problem in the dynamic problem domain. This approach presents a functional dynamism to the problem landscape, where by the behaviour of the ant is driven by its ability to ...
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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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(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, 2011-07-12)The lack of study of genetic programming in dynamic environments is recognised as a known issue in the field of genetic programming. This study compares the performance of two forms of genetic programming, grammatical ...