A common problem in genetic programming search algorithms is destructive crossover in which the offspring of good parents generally has worse performance than the parents. Design...
Programming massively-parallel machine is a daunting task for any human programmer and parallelization may even be impossible for any compiler. Instead, the functional programming ...
Jean-Luc Gaudiot, Thomas DeBoni, John Feo, A. P. W...
Abstract. In this article, we address the problem of statically determining an approximation of the communication topology of concurrent programs. These programs may contain dynami...
We propose to improve the efficiency of genetic programming, a method to automatically evolve computer programs. We use graph-based data mining to identify common aspects of highl...
: This article presents a rule–based agent mechanism as the kernel of a ubiquitous end–user, UI–independent programming system. The underlying goal of our work is to allow en...