Genetic programming has been considered a promising approach for function approximation since it is possible to optimize both the functional form and the coefficients. However, it...
Language mechanisms deserve language implementation effort. While this maxim has led to sophisticated support for language features specific to object-oriented, functional and lo...
Michael Haupt, Mira Mezini, Christoph Bockisch, To...
Abstract. In this paper we present the iData Toolkit. It allows programmers to create interactive, dynamic web applications with state on evel of abstraction. The key element of th...
The choice of an appropriate hardware representation model is key to successful evolution of digital circuits. One of the most popular models is cartesian genetic programming, whi...
Abstract. Traditional stochastic programming is risk neutral in the sense that it is concerned with the optimization of an expectation criterion. A common approach to addressing ri...