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An examination on the modularity of grammars in grammatical evolutionary design
Author(s)
Date Issued
2010-07
Date Available
2010-11-05T15:01:26Z
Abstract
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 performance on the same problems. This is done by creating four grammars with varying levels of modularity and using them with grammatical evolution to evolve floor plan designs. The results of this experimentation show how increases in modularity, brought about by simple modifications in the grammars, and increases in the quality of solutions go hand in hand. It also demonstrates how more modular grammars explore more individuals even while fitness remains the same or changes in only minor increments.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2010 IEEE
Subject – LCSH
Evolutionary computation
Genetic programming (Computer science)
Design
Modularity (Engineering)
Web versions
Language
English
Status of Item
Peer reviewed
Part of
Evolutionary Computation (CEC), 2010 IEEE Congress on [proceedings]
Conference Details
IEEE World Congress on Computational Intelligence,Barcelona, Spain, 18-23 July.
ISBN
978-1-4244-6909-3
This item is made available under a Creative Commons License
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