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Diagnostic process optimisation with evolutionary programming

Proceedings. 11th IEEE Symposium on Computer-Based Medical Systems (Cat. No.98CB36237), 2002
In pediatric cardiology a datebase and supporting information system are indispensable in order to cunduct more extensive and detailed investigations. Diagnostic decision during the diagnostic process in congenital heart disease CHD must be supported by the diagnostic suitable decision support system. In the majority of children with CHD, the diagnosis
Kokol, Peter   +2 more
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A Single Component Mutation Evolutionary Programming

Applied Mathematics and Computation, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ji, Mingjun   +3 more
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Fast immunized evolutionary programming

Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826), 2004
Evolutionary programming is a good global optimization method. By introducing the improved adaptive mutation operation and improved selection operation based on thickness adjustment of artificial immune system into traditional evolutionary programming, a fast immunized evolutionary programming is proposed in this paper.
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Dynamic Programming - Evolutionary Distance

2011
The authors show how one can determine from their genetic information how closely two organisms are related to each other, and they show how we can see from mutations how far apart the organisms are from each other, or from a common ancestor. This is an optimization problem, and the authors use it to explain dynamic programming – first, split problems ...
Norbert Blum, Matthias Kretschmer
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Evolutionary programming

Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97), 2002
Y.J. Cao, Q.H. Wu
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Evolutionary Programming IV

1995
March 1-3, 1995, San Diego, California Evolutionary programming is one of the predominate algorithms withing the rapidly expanding field of evolutionary computation. These edited contributions to the Fourth Annual Conference on Evolutionary Programming are by leading scientists from academia, industry, and defense.
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MicroGP—An Evolutionary Assembly Program Generator

Genetic Programming and Evolvable Machines, 2005
This paper describes ?GP, an evolutionary approach for generating assembly programs tuned for a specific microprocessor. The approach is based on three clearly separated blocks: an evolutionary core, an instruction library and an external evaluator. The evolutionary core conducts adaptive population-based search.
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Evolutionary Programming

2003
A. E. Eiben, J. E. Smith
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