of monitoring crawled webpages for keeping updated versions. We here present a novel approach to generate score functions that produce accurate rankings of pages regarding their probability of being modified when compared to their previously crawled versions. We propose a flexible framework that uses genetic

In this paper we investigate the potential use of Genetic Programming for the solution of the one-machine total tardiness problem, which has been the subject of academic research for almost four decades. To our

in this paper: they rely on data and sources presented in the updated version of my trilogy (Castells 2000a). For the sake of clarity, I will rst present the conceptual framework I use in my analysis of social structure. I will then proceed to enumerate the main transformations taking place in social structures

We propose a genetic algorithm for communication scheduling for distributed, time-triggered real-time systems. It is designed for systems based on the Logical Execution Time (LET) programming paradigm which enables the platform independent description of the timing behavior of such systems. We

. Currently, PC cluster is the common architecture for parallel computing with high performance-price-ratio. In this paper, we choose island model for implement PGA on PC cluster and present a novel framework for PGAs (FPGA-Cluster) using updated island model on PC cluster. A GA program can be translated to a

Teleo-reactive programs and the triple tower architecture have been proposed as a framework for linking perception and action in agents. The triple tower architecture continually updates the agent’s knowledge of the world and evokes actions according to teleo-reactive control structures. This paper

Abstract—In genetic programming (GP), evolving tree nodes separately would reduce the huge solution space. However, tree nodes are highly interdependent with respect to their fitness. In this paper, we propose a new GP framework, namely, instruction-matrix (IM)-based GP (IMGP), to handle

The notions of audio and control rate have been a pervasive feature of audio programming languages and environments. Real-time computer music systems depend on schedulers to coordinate and order the execution of many tasks over the course of time. In this paper we describe the scheduling

a modified maximum likelihood function to update the parameters of the best performing filter in the bank. This particular approach to parameter adaptation allows a real-time implementation. The second algorithm uses a genetic algorithm to search for the parameter vector and is suited for post

of knowledge and a book in Her lotus hands. Dedicated to the Lotus Feet of the revered Sadguru. This thesis presents a new active mask (AM) framework and an algorithm for segmenta-tion of digital images, particularly those of punctate patterns from fluorescence microscopy. Fluorescence microscopy has greatly