Publication - Introduction of a Sectioned Genetic Algorithm for Large Scale Problems
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Introduction of a Sectioned Genetic Algorithm for Large Scale Problems

Research Area:  
Other topics in Computer Science
    
Type:  
In Proceedings

 

Year: 2007
Authors: Z. Detorakis; George Tambouratzis
Book title: Proceedings of the Bionetics-2007 Conference
Pages: 2-7
Address: Budapest, Hungary
Date: 10-12 December
DOI: 10.1109/BIMNICS.2007.4610072
Abstract:
The sectioned genetic algorithm (hereafter denoted as sectioned GA), which is presented in this paper, represents a modification of the standard GA and deals with large scale problems (i.e. problems involving pattern spaces with high dimensionalities). Instead of increasing the size of the population searching the pattern space when the problem dimensionality increases, the sectioned GA approach divides each individual into smaller parts (sections) and subsequently applies the genetic operators on each of these parts. Results from the application of sectioned GA on the problem of automatic morphological analysis are also presented in this article. Morphological analysis is by nature a large scale problem since a great number of words need to be segmented into stems and suffixes. The proposed system improves the segmentation accuracy substantially in comparison to standard GA algorithms.
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