Read e-book online Genetic Programming: 16th European Conference, EuroGP 2013, PDF

By Alexandros Agapitos, Michael O’Neill, Anthony Brabazon (auth.), Krzysztof Krawiec, Alberto Moraglio, Ting Hu, A. Şima Etaner-Uyar, Bin Hu (eds.)

ISBN-10: 3642372066

ISBN-13: 9783642372063

ISBN-10: 3642372074

ISBN-13: 9783642372070

This e-book constitutes the refereed lawsuits of the sixteenth eu convention on Genetic Programming, EuroGP 2013, held in Vienna, Austria, in April 2013 co-located with the Evo* 2013 occasions, EvoMUSART, EvoCOP, EvoBIO, and EvoApplications.
The 18 revised complete papers provided including five poster papers have been conscientiously reviewed and chosen from forty seven submissions. the wide variety of subject matters during this quantity displays the present nation of analysis within the box, together with various genres of GP (tree-based, linear, grammar-based, Cartesian), conception, novel operators, and applications.

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Additional resources for Genetic Programming: 16th European Conference, EuroGP 2013, Vienna, Austria, April 3-5, 2013. Proceedings

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This continues until all valid genotypes have been mapped and explored. Once this process is done all the individual neighbourhoods are compressed into a single neighbourhood. The operator removes all degeneracy in the genotypes by only allowing the codon values at each point of the chromosome to represent the choices available thus removing the neutral mutations that GE can take advantage of. For example a GE codon valued 62 is mutated to 64 and this codon is applied to a binary grammar rule, the mutation results in no change to the expansion of the tree.

These setups were then applied to three problem domains, Santa Fe Ant Trail, Even 5 Parity and Symbolic Regression. The experiments were then repeated using a fixed order initialisation, setting every expansion codon to zero so as to guarantee a standard GE order, and then examined to see how the order would change starting from a fixed order. Would it maintain the order or something close to it, or would it follow the behaviour of standard πGE? Table 1. 9 (variable single point) 200 codons (random init) 100 per setup & problem In Fig.

N T to expand = Codon value % N umber of N T s 4 (2) Order Bias Distance Metric Order Bias Distance Metric (OBDM) is a measure that shows how far away from a desired derivation order a πGE order is. The metric is measured in terms of the average percentage distance away from the desired order. The metric is very dependent on the πGE algorithms implementation. In πGE, all non terminals are added to a list of possible expansion sites and selection from this list is controlled by the chromosome. When a non terminal is expanded any non terminals generated from the expansion are then placed in the list in the position the parent NT was taken from.

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Genetic Programming: 16th European Conference, EuroGP 2013, Vienna, Austria, April 3-5, 2013. Proceedings by Alexandros Agapitos, Michael O’Neill, Anthony Brabazon (auth.), Krzysztof Krawiec, Alberto Moraglio, Ting Hu, A. Şima Etaner-Uyar, Bin Hu (eds.)


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