Titlebook: Genetic Programming; 7th European Confere Maarten Keijzer,Una-May O’Reilly,Terence Soule Conference proceedings 2004 Springer-Verlag Berlin

TRAWL

Hiroyuki Abé,Kozaburo Hayashi,Masaaki Satolems. For each problem multiple functions sets are tested. The results show that functions can be classified into function groups of equivalent functions. The most appropriate function set for a problem is one that is optimally diverse; a set that includes one function from each function group.

Malcontent

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Boosting Technique for Combining Cellular GP Classifierson a subset of the overall training data. Experiments showed that, by using a sample of reasonable size, the extension with these voting algorithms enhances classification accuracy at a much lower computational cost.

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Co-evolving Faults to Improve the Fault Tolerance of Sorting Networksolved circuits. Our test systems are sorting networks, since these are simple enough to analyze. We show that the overall impact of faults in an evolved sorting network can be reduced proportionally to the strength of co-evolutionary pressure.

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Financial Emerging Markets Revisited,that both the gate counts and the propagation gate delays of the evolved circuits are less than conventional designs. For example, in a 3-bit multiplier experiment, we obtained a combinational digital circuit with 26 two-input logic gates in 6 gate levels. It utilizes 4 gates less than a conventional design.