This survey covers the state of the art of techniques for solving general-purpose constrained
global optimization problems and continuous constraint satisfaction problems, with …

When you think about how far and fast computer science has progressed in recent years, it's
not hard to conclude that a seven-year old handbook may fall a little short of the kind of …

In this paper the genetic algorithm (GA) method is applied to the optimization problem of a
linear one-degree-of-freedom (1-DOF) vibration isolator mount and the method is extended …

Biological in vitro selection techniques, such as RNA aptamer methods and mRNA display,
have proven to be powerful approaches for engineering molecules with novel functions …

Quantitative Structure-Activity Relationships (QSARs) are increasingly used to predict the
harmful effects of chemicals to humans and the environment. The increased use of these …

Great earthquakes, the few largest earthquakes that account for most of the Earth's seismic
energy release, have occurred at only a few subduction zones around the world. Strong …

Background: Genetic algorithms have been used to solve optimization problems for artificial
neural networks (ANN) in several domains. We used genetic algorithms to search for optimal …

After I came to know Jerne's network theory on the immune system, I became fascinated with
the immune system as an information system. The main pro totypes for biological information …

Estimating the maximum recommended starting dose (MRSD) of a pharmaceutical for phase
I human clinical trials and the no observed effect level (NOEL) for non-pharmaceuticals is …

Rifamycin B is an important polyketide antibiotic used in the treatment of tuberculosis and
leprosy. We present results on medium optimization for Rifamycin B production via a barbital …