After an outline of the history of evolutionary algorithms, a new ( ) variant of the evolution strategies is introduced formally. Though not comprising all degrees of freedom, it i...
Translating data and data access operations between applications and databases is a longstanding data management problem. We present a novel approach to this problem, in which the...
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Extending the notion of inheritable genotype in genetic programming (GP) from the common model of DNA into chromatin (DNA and histones), we propose an approach of embedding in GP a...
Embedded systems can be viewed as scaled-down versions of their one counterparts. In many cases, the software abstractions and libraries for embedded systems can be derived from l...