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Browsing by Subject "Genetic programming (Computer science)"
Now showing items 1-20 of 42
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(ACM, 2011-07-12)Several papers show that symbolic regression is suitable for data analysis and prediction in financial markets. Grammatical Evolution (GE), a grammar-based form of Genetic Programming (GP), has been successfully applied ...
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(Springer, 2010)We present an analysis of the genotype-phenotype map in Grammatical Evolution (GE). The standard map adopted in GE is a depth-first expansion of the non-terminal symbols during the derivation sequence. Earlier studies have ...
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(IEEE, 2010-07)In this work, we examine the capabilities of two forms of mappings by means of Grammatical Evolution (GE) to successfully generate controllers by combining high-level functions in a dynamic environment. In this work we ...
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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 ...
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(Springer, 2011-04-02)A mapping is local if it preserves neighbourhood. In Evolutionary Computation, locality is generally described as the property that neighbouring genotypes correspond to neighbouring phenotypes. A representation has high ...
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(IEEE, 2010-07)A key indicator of problem difficulty in evolutionary computation problems is the landscape’s locality, that is whether the genotype-phenotype mapping preserves neighbourhood. In genetic programming the genotype and phenotype ...
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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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(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)Early stopping typically stops training the first time validation fitness disimproves. This may not be the best strategy given that validation fitness can subsequently increase or decrease. We examine the effects of stopping ...
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(Inderscience Enterprises, 2010-04-24)A new evolutionary design tool is presented, which uses shape grammars and a grammar-based form of evolutionary computation, grammatical evolution (GE). Shape grammars allow the user to specify possible forms, and GE allows ...
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(Springer, 2010)In this paper we propose an evolutionary approach capable of successfully combining rules to play the popular video game, Ms. Pac- Man. In particular we focus our attention on the benefits of using Gram- matical Evolution ...
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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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(IEEE, 2010-07)This work furthers the understanding of modularity in grammar-based genetic programming approaches by analyzing how different grammars may be capable of producing the same phenotypes, but still display differences in ...
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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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(Springer, 2011-04-27)Representation is a very important component of any evolutionary algorithm. Changing the representation can cause an algorithm to perform very differently. Such a change can have an effect that is difficult to understand. ...
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(ACM, 2011-07-12)This paper examines how the semantic locality of a search operator affects the fitness landscape of Genetic Programming (GP). We compare the fitness landscapes of GP search when standard subtree mutation and a recently ...
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(Springer, 2011-04-27)There have been many approaches to modularity in the field of evolutionary computation, each tailored to function with a particular representation. This research examines one approach to modularity and grammar modification ...
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(Springer, 2012)The last ten years has seen the introduction and rapid growth of a market in weather derivatives, financial instruments whose payoffs are determined by the outcome of an underlying weather metric. These instruments allow ...
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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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(Elsevier, 2010-01)Grammatical evolution (GE) is a form of grammar-based genetic programming. A particular feature of GE is that it adopts a distinction between the genotype and phenotype similar to that which exists in nature by using a ...
Now showing items 1-20 of 42