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@InProceedings{Floares:2006:CEC, author = "Alexandru G. Floares", title = "Computation Intelligence Tools for Modeling and Controlling Pharmacogenomic Systems: Genetic Programming and Neural Networks", booktitle = "Proceedings of the 2006 IEEE Congress on Evolutionary Computation", year = "2006", editor = "Gary G. Yen and Lipo Wang and Piero Bonissone and Simon M. Lucas", pages = "7510--7517", address = "Vancouver", month = "16-21 " # jul, publisher = "IEEE Press", keywords = "genetic algorithms, genetic programming, computational intelligences tools, computation intelligence tools, computer programming language, differential genes expression, neural networks, nonlinear coupled ordinary differential equations, pharmacogenomic systems, genetics, medical control systems, neurocontrollers, nonlinear differential equations, nonlinear equations", ISBN = "0-7803-9487-9", DOI = "doi:10.1109/IJCNN.2006.246876", size = "8 pages", abstract = "Pharmacogenomic systems (PG) are very high dimensional, nonlinear, and stiff systems. Mathematical modelling of these systems, as systems of nonlinear coupled ordinary differential equations (ODE), is considered important for understanding them; unfortunately, it is also a very difficult task. At least as important is to adequately control them through inputs, which are drugs' dosage regimes. In this paper, we investigate new approaches based on computational intelligences tools - genetic programming (GP), and neural networks (NN) - for these difficult tasks. We use GP to automatically write the model structure in a computer programming language (C+t) and to optimise the model's constants. In some circumstances, the proposed methods not only give an accurate mathematical model of the PG system, but they also give insights into the subjacent molecular mechanisms. We also show that NN feedback linearisation (FBL) can adequately control these systems, with or without a mathematical model. The drug dosage regimen will determine the output of the system to track very well a therapeutic objective. To our knowledge, this is the first time when a very large class of complex pharmacological problems are formulated and solved in terms of GP modelling and NN modeling and control.", notes = "May 2010 http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1716624&tag=1 \cite{conf/ijcnn/Floares06} says this is in IJCNN 2006, 3820--3827, but his own IASTED-2007 ISBN:978-0-88986-694-2 says CEC 7510--7517. WCCI 2006 - A joint meeting of the IEEE, the EPS, and the IEE. IEEE Catalog Number: 06TH8846D", }

Genetic Programming entries for Alexandru Floares