1. Edition - May 2001
122.- Euro
2001. XX, 498 Pages, Hardcover
- Handbook/Reference Book -
ISBN-10: 0-471-87339-X
ISBN-13: 978-0-471-87339-6 - John Wiley & Sons








Short description
Evolutionary algorithms are relatively new, powerful techniques used to find solutions to many real-world search and optimization problems. Focusing on these "thinking" algorithms, this book offers comprehensive coverage of these techniques, which are highly effective in finding multiple effective solutions in a single simulation run. Each algorithm is introduced along with examples and an in-depth discussion.

From the contents
Foreword.

Preface.

Prologue.

Multi-Objective Optimization.

Classical Methods.

Evolutionary Algorithms.

Non-Elitist Multi-Objective Evolutionary Algorithms.

Elitist Multi-Objective Evolutionary Algorithms.

Constrained Multi-Objective Evolutionary Algorithms.

Salient Issues of Multi-Objective Evolutionary Algorithms.

Applications of Multi-Objective Evolutionary Algorithms.

Epilogue.

References.

Index.