Optimization Techniques for Solving Complex Problems

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.

Optimization Techniques for Solving Complex Problems features in the following genres: Electronics and communications engineering

Optimization Techniques for Solving Complex Problems is available in Hardback

Optimization Techniques for Solving Complex Problems was written by Enrique Alba and published by John Wiley & Sons, Inc. an imprint of Wiley

Optimization Techniques for Solving Complex Problems has 476 pages

Yes it is part of Wiley Series on Parallel and Distributed Computing series