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Sequential and parallel evolutionary algorithms (EAs) are developed and evaluated on two hard optimisation problems arising in the field of Telecommunications: designing error correcting codes, and finding optimal placem...

In several applications, the trajectory of an entity, a feature or an object has to be tracked over a sequence of image frames. When the processing is to be performed in real time, there are important constraints leading...

Matrix multiplication is taken as a test bed for parallel processing on heterogeneous networks of workstations (local area networks) used as parallel machines. Two algorithms are proposed taking into account the specific...

The N-body problem is often characterized by the necessity to interact each of the N bodies with every other one. Its principal problem is the time spent in force computation. Computing the force among a set of N bodies...

In this book the authors present a complete state-of-the art in the field. Then they give an overall vision about the diverse varieties of MOEAs (Multi-Objetive Evolutionary Algorithms) and their performance. Important a...

Evolutionary algorithms (EAs) can be used as optimisation mechanisms. Based on the model of natural evolution, they work on populations of individuals instead of on single solutions. In this way, the search is performed ...

Los algoritmos secuenciales de análisis de similitud de imágenes son de cálculo intensivo, en particular cuando se busca que sean invariantes a traslaciones, rotaciones y cambios de escala. Una solución para el anál...

De acuerdo con la evolución en el tiempo, la potencia de cálculo disponible de las computadoras de escritorio crece a medida que el costo se reduce. Puesto de otra manera, la relación costo/potencia de cálculo o dire...

Determining an optimal schedule to minimize the completion time of the last job abandoning the system (makespan) becomes a very difficult problem when there are more than two machines in the flow shop. Due both to its ec...

Las aplicaciones distribuidas están formadas por un conjunto de procesos, los cuales pueden competir por utilizar un recurso o trabajar en forma conjunta para resolver una tarea. Estas aplicaciones requieren protocolos...

Evolutionary Computation (EC) have been applied to a great number of optimisation problems with some success, specially in fields such as production operations in manufacturing industry, parallel and distributed systems,...

We present a scheme for efficiently administrating a set of distributed simulation servers which attend requests from a number of users. These can be either sequential or parallel simulation models, or random combination...

A concept for the optimization of nonlinear functions using particle swarm methodology is introduced. The evolution of several paradigms is outlined, and an implementation of one of the paradigms is discussed. Benchmark ...