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

This e-book constitutes the refereed complaints 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 awarded including five poster papers have been rigorously reviewed and chosen from forty seven submissions. the wide variety of issues 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 info for Genetic Programming: 16th European Conference, EuroGP 2013, Vienna, Austria, April 3-5, 2013. Proceedings

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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. The grammar used for this experiment is similar to the one shown in Fig.

3 and 4 show the expansion of the example grammar in Fig. 1 using the πGE mapping process. The number associated with each branch of the tree is a reference to the numbered steps shown in Fig. 3 which show how 40 D. Fagan et al. 1(8%2) 2(11%2) 5(3%2) 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. [(e)] [(e),o,e] [o,(e),v] [o,(v),e,o,e]<[(o),e,o,e] [(e),o,e] [(o),e,v] [e,(v)] [(e)] [(v)] <<<<<<<<<- (12%1=0) (3%3=0) (7%3=1) (11%5=1) (4%4=0) (3%3=0) (15%3=0) (9%2=1) (10%1=0) (7%1=0) Fig. 3. 5 Fig.

4508–4515 (2007) 23. : Genetic programming: on the programming of computers by means of natural selection. The MIT Press, Cambridge (1992) 24. : Evolution of hyperheuristics for the biobjective 0/1 knapsack problem by multiobjective genetic programming. In: GECCO 2008, pp. 1227–1234. H. Drake, N. Kililis, and E. Ozcan 25. : The vehicle routing problem: An overview of exact and approximate algorithms. European Journal of Operational Research 59(3), 345–358 (1992) 26. : Variable neighborhood search.

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