Semantic-based subtree crossover applied to dynamic problems

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Author(s)
Uri
Date Issued
14 October 2011
Date Available
27T14:13:19Z March 2012
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
Keywords
Subject – LCSH
Genetic programming (Computer science)
Semantics
Dynamic programming
DOI
Web versions
Language
English
Status of Item
Peer reviewed
Part of
Ho, Tu Bao et al. (eds.). KSE 2011 : the third international conference on knowledge and systems engineering [proceedings]
Description
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
Owning collection
Computer Science Research Collection