There are many studies on ABS and several frameworks for ABS have already been published. However, there are few frameworks that can enable agent-based simulation using large numb...
In this paper we report on a study in which genetic algorithms are applied to the analysis of noisy time-series signals, which is related to the problem of analyzing the motion ch...
I present MOSES (meta-optimizing semantic evolutionary search), a new probabilistic modeling (estimation of distribution) approach to program evolution. Distributions are not esti...
Spatial and temporal data are critical components in many applications. This is especially true in analytical domains such as national security and criminal investigation. Often, t...
Matthew Perry, Amit P. Sheth, Farshad Hakimpour, P...
Abstract. The popularity of handheld devices has created a flurry of research activity into new protocols and applications that can handle and exploit the defining characteristic...
Andrew G. Miklas, Kiran K. Gollu, Kelvin K. W. Cha...