Genetic Programming Theory and Practice V (Genetic and Evolutionary Computation) (v. 5)
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Genetic Programming Theory and Practice V was developed from the fifth workshop at the University of Michigan’s Center for the Study of Complex Systems. It aims to facilitate the exchange of ideas and information related to the rapidly advancing field of Genetic Programming (GP). This volume is a unique and indispensable tool for academics, researchers and industry professionals involved in GP, evolutionary computation, machine learning and artificial intelligence.
loss of such diversity metrics. 38 GENETIC PROGRAMMING THEORY AND PRACTICE V Best Fitness Comparison, Tournament Parameter 24 23 Fitness 22 21 20 19 18 Tournament Size 2 Tournament Size 5 Tournament Size 10 17 0 50000 100000 150000 200000 250000 300000 Evaluations 350000 400000 450000 500000 Figure 3-1. Best ﬁtness averaged over 30 independent runs for a variety of tournament sizes. A tournament size of two randomly selects parents with the ﬁtter parent contributing the root
efﬁcient algorithmic techniques to map out the search space of the boolean domains. Whilst this represents a considerable technical challenge the beneﬁts of such an analysis mechanism would be considerable. Previous work done by the authors has found that artiﬁcially created problems created for analysing the behaviour of evolutionary models to be highly unstable. Problems were either too hard or too difﬁcult. Because of this, the boolean domain presents a relatively difﬁcult search space whose
and some important pharmacokinetic parameters. The parameters considered here are Human Oral Bioavailability, Median Oral Lethal Dose, and Plasma Protein Binding levels. The availability of good prediction tools for pharmacokinetics parameters like these is critical for optimizing the efﬁciency of therapies, maximizing medical success rate and minimizing toxic effects. The experimental results presented in this chapter show that the Negative Slope Coefﬁcient seems to be a reasonable tool to
pharmacokinetics and toxicology (see Figure 7-1.b). Good drugs in fact have not only to show good target binding, but must also follow a proper route into the human body without causing toxic effects. First of all they have to be absorbed from the gut wall and then to enter into hepatic circulation in the portal vein. Carried by the blood ﬂux and possibly bound to plasma proteins, molecules arrive in the liver, where biochemical processes that try to destroy them take place. Only the fraction of
Computation – GECCO2004, Part II, volume 3103 of Lecture Notes in Computer Science, pages 654–665, Seattle, WA, USA. Springer-Verlag. Spector, Lee and Klein, Jon (2005). Trivial geography in genetic programming. In Yu, Tina, Riolo, Rick L., and Worzel, Bill, editors, Genetic Programming Theory and Practice III, volume 9 of Genetic Programming, chapter 8, pages 109–123. Springer, Ann Arbor. Wicker, Thomas, Schlagenhauf, Edith, Graner, Andreas, Close, Timothy, Keller, Beat, and Stein, Nils (2006).