Bibliothèque de L'IMIST/CNRST

Includes bibliographical references and index.

Ch. 1. Genetic Algorithms in the Engineer's Toolbox / Charles L. Karr and L. Michael Freeman -- Ch. 2. Image-Calibration Transformation Matrix Solution Using a Genetic Algorithm / Thomas P. Dickens -- Ch. 3. Genetic Algorithms for H[subscript 2] Controller Synthesis / Keith J. Nicolosi -- Ch. 4. Software Test Data Generation from a Genetic Algorithm / Ken Borgelt -- Ch. 5. Optimization of a Porous Liner for Transpiration Cooling using a Genetic Algorithm / Jeremy S. Lang -- Ch. 6. Genetic Algorithms for Constrained Service Provisioning / Phil Benjamin -- Ch. 7. Using a Genetic Algorithm to Determine the Optimum Two-Impulse Transfer between Coplanar, Elliptical Orbits / Angela K. Reichert.

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 from 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.