El libro está orientado a las ténicas de diseño para mejorar la performance de sistemas de computación y especialmente hacia aquellas técnicas que involucren paralelismo.

El Profesor Michalewicz ofrece, en su libro, una motivante introducción al tema abarcando cada uno de los enfoques evolutivos aunque con preferencia hacia los algoritmos genéticos y sus extensiones: los programas evolutivos

This book presents the fundamentals of discrete-time signals, systems, algorithms and applications for students in electrical engineering or computer science. It covers both time-domain and frequency- domain methods for the analysis of linear, discrete-time systems.

Processor and network management have a great impact on the performance of Distributed Memory Parallel Computers. Dynamic Process Migration allows load balancing and communication balancing at execution time. Managing the communications involving the migrating process is one of the problems…

This article presents a proposal of a multithreaded core for an OSI/ISO management agents including its modeling,
simulation and performance evaluation. The proposed model i s compared against another one (unthreaded core) which is the c ommonly adopted model by…

In this paper we present two basic modules whithin the designed scheme for retrieving images of a database from the object colour and shape in the scenes. On the one hand, we desing a new method to detect edges in…

In this paper two images compression techniques with loss based on the method used by the compression Standard Joint Photographic Experts Groups (JPEG) and on the Quadtree
adaptive partitioning method are presented and compared, and the loss produced studied. The…

The development of parallel algorithms for an automatic recognition and classification of objects from an industrial line (either production or packaging) is presented. This kind of problem introduces a temporal restriction on images processing, a parallel resolution being therefore required.…

Modern computers present a big gap between peak performance and sustained performance. There are many reasons for this situation, but mainly involving an inefficient usage of computational resources. Nowadays the memory system is the most critical component because of its…

Fast response, storage efficiency, fault tolerance and graceful degradation in face of scarce or spurious inputs make neural networks appropiate tools for Intelligent Computer Systems. But on the other hand, learning algorithms for neural networks involve CPU intensive processing and…