RSS
- You are here:
- Research Repository UCD
- >
- Institutes and Centres
- >
- Complex and Adaptive Systems Laboratory
- >
- Search
JavaScript is disabled for your browser. Some features of this site may not work without it.
Search
Search Results for Collection: Complex and Adaptive Systems Laboratory
-
(Springer, 2010-05-01)Grammar formalisms are one of the key representation structures in Computer Science. So it is not surprising that they have also become important as a method for formalizing constraints in Genetic Programming (GP). Practical ...
-
(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 ...
-
Improving the generalisation ability of genetic programming with semantic similarity based crossover (Springer, 2010)This paper examines the impact of semantic control on the ability of Genetic Programming (GP) to generalise via a semantic based crossover operator (Semantic Similarity based Crossover - SSC). The use of validation sets ...
-
(Springer, 2010-09)It is approximately 50 years since the first computational experiments were conducted in what has become known today as the field of Genetic Programming (GP), twenty years since John Koza named and popularised the method, ...
-
(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 ...
-
(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 ...
-
(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 ...
-
(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 ...
-
(IEEE, 2010-07)We present an investigation into the genotype-phenotype map in Position Independent Grammatical Evolution (πGE). Previous studies have shown πGE to exhibit a performance increase over standard GE. The only difference between ...
-
(IEEE, 2010-07)In this paper we investigate the application of Tree-Adjunct Grammars to Grammatical Evolution. The standard type of grammar used by grammatical evolution, context-free grammars, produce a subset of the languages that ...