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Semantic-based subtree crossover applied to dynamic problems
Date Issued
2011-10-14
Date Available
2012-03-27T14:13:19Z
Abstract
Although many real world problems are dynamic in nature, the study of Genetic Programming in dynamic environments is still immature. This paper investigates the application of some recently proposed semantic-based crossover operators on a series of dynamic problems. The operators studied include Semantic Similarity based Crossover and the Most Semantic Similarity based Crossover. The experimental results show the advantage of using semantic based crossovers when tackling dynamic problems.
Sponsorship
Science Foundation Ireland
Irish Research Council for Science, Engineering and Technology
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2011 IEEE
Subject – LCSH
Genetic programming (Computer science)
Semantics
Dynamic programming
Web versions
Language
English
Status of Item
Peer reviewed
Journal
Ho, Tu Bao et al. (eds.). KSE 2011 : the third international conference on knowledge and systems engineering [proceedings]
Conference Details
Presented at KSE 2011, The Third International Conference on Knowledge and Systems Engineering, Hanoi, Vietnam, 14-17 October, 2011
ISBN
978-1-4577-1848-9
This item is made available under a Creative Commons License
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79.08 KB
Format
Adobe PDF
Checksum (MD5)
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