Congress on Evolutionary Computation, IEEE World Congress on Computational Intelligence, Barcelona, Spain, 18-23 July 2010Locality - how well neighbouring genotypes correspond to neighbouring phenotypes - has been described as a key element in Evolutionary Computation. Grammatical Evolution (GE) is a generative system as it uses grammar rules to derive a program from an integer encoded genome. The genome, upon which the evolutionary process is carried out, goes through several transformations before it produces an output. The aim of this paper is to investigate the impact of locality during the generative process using both qualitative and quantitative techniques. To explore this, we examine the effects of standard GE mutation using distanc...
The property that neighbouring genotypes tend to map to neighbouring phenotypes, i.e. locality, is a...
We present an analysis of the genotype-phenotype map in Grammatical Evolution (GE). The standard map...
European Conference on Genetic Programming, Istanbul Turkey, 7-9 April, 2010We present an analysis o...
Locality-how well neighbouring genotypes correspond to neighbouring phenotypes-has been described as...
Abstract—Locality- how well neighbouring genotypes corre-spond to neighbouring phenotypes- has been ...
Abstract—Locality- how well neighbouring genotypes corre-spond to neighbouring phenotypes- has been ...
Locality – how well neighbouring genotypes correspond to neighbouring phenotypes – has been defined ...
It is well known that using high-locality representations is important for efficient evolutionary se...
This paper investigates the locality of the genotypephenotype mapping (representation) used in gr...
A mapping is local if it preserves neighbourhood. In Evolutionary Computation, locality is generally...
The development and optimisation of programs through search is a growing application area for comput...
Abstract A mapping is local if it preserves neighbourhood. In Evolutionary Com-putation, locality is...
Congress on Evolutionary Computation, IEEE World Congress on Computational Intelligence, Barcelona, ...
The most salient feature of Grammatical Evolution (GE) is a procedure which maps genotypes to phenot...
Grammatical evolution (GE) is a form of grammar-based genetic programming. A particular feature of G...
The property that neighbouring genotypes tend to map to neighbouring phenotypes, i.e. locality, is a...
We present an analysis of the genotype-phenotype map in Grammatical Evolution (GE). The standard map...
European Conference on Genetic Programming, Istanbul Turkey, 7-9 April, 2010We present an analysis o...
Locality-how well neighbouring genotypes correspond to neighbouring phenotypes-has been described as...
Abstract—Locality- how well neighbouring genotypes corre-spond to neighbouring phenotypes- has been ...
Abstract—Locality- how well neighbouring genotypes corre-spond to neighbouring phenotypes- has been ...
Locality – how well neighbouring genotypes correspond to neighbouring phenotypes – has been defined ...
It is well known that using high-locality representations is important for efficient evolutionary se...
This paper investigates the locality of the genotypephenotype mapping (representation) used in gr...
A mapping is local if it preserves neighbourhood. In Evolutionary Computation, locality is generally...
The development and optimisation of programs through search is a growing application area for comput...
Abstract A mapping is local if it preserves neighbourhood. In Evolutionary Com-putation, locality is...
Congress on Evolutionary Computation, IEEE World Congress on Computational Intelligence, Barcelona, ...
The most salient feature of Grammatical Evolution (GE) is a procedure which maps genotypes to phenot...
Grammatical evolution (GE) is a form of grammar-based genetic programming. A particular feature of G...
The property that neighbouring genotypes tend to map to neighbouring phenotypes, i.e. locality, is a...
We present an analysis of the genotype-phenotype map in Grammatical Evolution (GE). The standard map...
European Conference on Genetic Programming, Istanbul Turkey, 7-9 April, 2010We present an analysis o...