Optimization Techniques for Solving Complex Problems

Optimization Techniques for Solving Complex Problems

Editor(s): Enrique Alba, Christian Blum, Pedro Isasi, Coromoto León, Juan Antonio Gómez

Published Online: 16 MAY 2008

Print ISBN: 9780470293324

Online ISBN: 9780470411353

DOI: 10.1002/9780470411353

Series Editor(s): Albert Y. Zomaya

About this Book

Real-world problems and modern optimization techniques to solve them

Here, a team of international experts brings together core ideas for solving complex problems in optimization across a wide variety of real-world settings, including computer science, engineering, transportation, telecommunications, and bioinformatics.

Part One-covers methodologies for complex problem solving including genetic programming, neural networks, genetic algorithms, hybrid evolutionary algorithms, and more.

Part Two-delves into applications including DNA sequencing and reconstruction, location of antennae in telecommunication networks, metaheuristics, FPGAs, problems arising in telecommunication networks, image processing, time series prediction, and more.

All chapters contain examples that illustrate the applications themselves as well as the actual performance of the algorithms.?Optimization Techniques for Solving Complex Problems is a valuable resource for practitioners and researchers who work with optimization in real-world settings.

Table of contents

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  1. Part I: Methodologies for Complex Problem Solving

  2. Part II: Applications

    1. Chapter 26

      Remote Services for Advanced Problem Optimization (pages 457–471)

      J. A. Gómez, M. A. Vega, J. M. Sánchez, J. L. Guisado, D. Lombraña and F. Fernández

    1. You have free access to this content
    1. You have free access to this content