Optimization techniques for solving complex problems / edited by Enrique Alba ... [et. al.].

Format:

Book

Contributor:

Alba, Enrique.

Series:

Wiley series on parallel and distributed computing.

Wiley series on parallel and distributed computing

Language:

English

Subjects (All):

Computer science--Mathematics.

Computer science.

Mathematical optimization.

Problem solving.

Physical Description:

1 online resource (502 p.)

Place of Publication:

Hoboken, N.J. : Wiley, c2009.

Language Note:

English

Summary:

"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."--Publisher's description.

Contents:

Part I: Methodologies for complex problem solving: Generating automatic projections by means of genetic programming

Neural lazy local learning

Optimization by using genetic algorithms with micropopulations

Analyzing parallel cellular genetic algorithms

Evaluating new advanced multiobjective metaheuristics

Canonical metaheuristics for dynamic optimization problems

Solving constrained optimization problems with hybrid evolutionary algorithms

Optimization of time series using parallel, adaptive, and neural techniques

Using reconfigurable computing to optimization of cryptographic algorithms

Genetic algorithms, parallelism and reconfigurable hardware

Divide and conquer: advanced techniques

Tools for tree searches: branch-and-bound and A* algorithms

Tools for tree searches: Dynamic programming

Part II: Applications: Automatic search of behavior strategies in auctions

Evolving rules for local time series prediction

Metaheuristics in bioinformatics: DNA sequencing and reconstruction

Optimal location of antennae in telecommunication networks

Optimization of image processing algorithms using FPGAs

Application of cellular automata algorithms to the parallel simulation of laser dynamics

Dense stereo disparity from an artificial life standpoint

Exact, metaheuristic, and hybrid approaches to multidimensional knapsack problems

Greedy seeding and problem-specific operators for GAs solution of strip packing problems

Solving the KCT problem: large scale neighborhood search and solution merging

Experimental study of GA-based schedulers in dynamic distributed computing environments

Remote optimization service (ROS)

Remote services for advanced problem optimization.

Notes:

Description based upon print version of record.

Description based on PDF viewed 10/24/2017.

Includes bibliographical references and index.

ISBN:

9786612030765

9781282030763

1282030760

9780470411353

047041135X

9780470411346

0470411341

OCLC:

352837438