Abstract. Real-world optimization problems are often subject to uncertainties, which can arise regarding stochastic model parameters, objective functions and decision variables. Th...
This paper takes an economic approach to derive an evolutionary learning model based entirely on the endogenous employment of genetic operators in the service of self-interested a...
Background: DNA microarrays contain thousands of different probe sequences represented on their surface. These are designed in such a way that potential cross-hybridization reacti...
Background: The estimation of the difference between two evolutionary distances within a triplet of homologs is a common operation that is used for example to determine which of t...
Christophe Dessimoz, Manuel Gil, Adrian Schneider,...
Due to the application-specific nature of wireless sensor networks, application-aware algorithm and protocol design paradigms are highly required in order to optimize the overall ...