Industrial Applications of Genetic Algorithms: 1st Edition (Hardback) book cover

Industrial Applications of Genetic Algorithms

1st Edition

Edited by Charles Karr, L. Michael Freeman

CRC Press

360 pages

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Hardback: 9780849398018
pub: 1998-12-29
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Genetic algorithms (GAs) are computer-based search techniques patterned after the genetic mechanisms of biological organisms that have adapted and flourished in changing, highly competitive environments for millions of years. GAs have been successfully applied to problems in a variety of studies, and their popularity continues to increase because of their effectiveness, applicability, and ease of use.

Industrial Applications of Genetic Algorithms shows how GAs have made the leap form their origins in the laboratory to the practicing engineer's toolbox. Each chapter in the book describes a project completed by a graduate student at the University of Alabama.

Table of Contents

Genetic Algorithms' Place in the Engineer's Toolbox

Image-Calibration Transformation Matrix Solution Using a Genetic Algorithm

Genetic Algorithms for H2 Controller Synthesis

Software Test Data Generation from a Genetic Algorithm

Optimization of a Porous Liner for Transpiration Cooling Using a Genetic Algorithm

Genetic Algorithms Approach to Constrained Service Provisioning

Using a Genetic Algorithm to Determine the Optimum Two-Impulse Transfer between Co-Planar, Elliptical Orbits

Optimized Non-Coplanar Orbital Transfers Using Genetic Algorithms

Data Mining Using Genetic Algorithms

Space Shuttle Main Engine Condition Monitoring via Genetic Algorithm and Radial Basis Function Neural Network

Tuning Bama Optimized Recurrent Neural Networks Using Genetic Algorithms

Gauss-Legendre Integration Using Genetic Algorithms

Using Genetic Operators to Distinguish Chaotic Behavior from Noise in a Time Series

Development of Mobile Robot Wall-Following Algorithms Using Genetic Programming

Hydrocyclone Model Using Genetic Programming

What Can I Do with a Learning Classifier System?

Genetic Algorithms for Game Playing

Simulation of an Artificial Eco-System Using Genetic Algorithms

About the Series

International Series on Computational Intelligence

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Subject Categories

BISAC Subject Codes/Headings:
COMPUTERS / Computer Engineering
TECHNOLOGY & ENGINEERING / Industrial Engineering