edited by A.M.S. Zalzala and Peter Fleming by L. Fortuna, G. Manganaro, T. Yamada, R. Nakano, M.C. Ang, M. Chen, A.S. Rana, G. Wang, S. Obayashi, V. Schnecke, A. Chipperfield, J.J. Grefenstette, C.M. Fonseca, R. Pearce, S. Lucas, R. Caponetto and M. Lavorgna
The Institution of Engineering and Technology, 1997 Cloth: 978-0-85296-902-1 | eISBN: 978-1-84919-351-1 (all) Library of Congress Classification TA345.G47 1997 Dewey Decimal Classification 620.00285
ABOUT THIS BOOK | TOC
ABOUT THIS BOOK
This book comprises ten invited expert contributions on the theory and applications of genetic algorithms in a variety of engineering systems. In addition to addressing the simple formulation of GAs, the chapters include original material on the design of evolutionary algorithms for particular engineering applications. Chosen for their experience in the field, the authors are drawn from both academia and industry worldwide, and provide extensive insight into their respective fields. The volume is suitable for researchers and postgraduates who need to be up-to-date with developments in this important subject, as well as practitioners in industry who are eager to find out how to solve their particular real-life problems.
TABLE OF CONTENTS
Chapter 1: Introduction to genetic algorithms
Chapter 2: Levels of evolution for control systems
Chapter 3: Multiobjective genetic algorithms
Chapter 4: Constraint resolutions in genetic algorithms
Chapter 5: Towards the evolution of scaleable neural architectures
Chapter 6: Chaotic systems identifcation
Chapter 7: Job shop scheduling
Chapter 8: Evolutionary algorithms for robotic systems: principles and implemenations