How Functional Dependency Adapts to Salience Hierarchy in the GAuGE System

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Title: How Functional Dependency Adapts to Salience Hierarchy in the GAuGE System
Authors: Nicolau, Miguel
Ryan, Conor
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Date: 16-Apr-2003
Abstract: GAuGE is a position independent genetic algorithm that suffers from neither under nor over-specification, and uses a genotype to phenotype mapping process. By specifying both the position and the value of each gene, it has the potential to group important data together in the genotype string, to prevent it from being broken up and disrupted during the evolution process. To test this ability, GAuGE was applied to a set of problems with exponentially scaled salience. The results obtained demonstrate that GAuGE is indeed moving the more salient genes to the start of the genotype strings, creating robust individuals that are built in a progressive fashion from the left to the right side of the genotype.
Type of material: Conference Publication
Publisher: Springer
Copyright (published version): 2003 Springer
Keywords: Genetic algorithmsGrammatical evolution
DOI: 10.1007/3-540-36599-0_14
Language: en
Status of Item: Peer reviewed
Is part of: Ryan, C., Soule, T., Keijzer, M., Tsang, E., Poli, R. and Costa, E. Genetic Programming (Lecture Notes in Computer Science 2610)
Conference Details: Genetic Programming: 6th European Conference, EuroGP 2003, Essex, UK, 14-16 April 14-16 2003
Appears in Collections:Business Research Collection

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