GENETIC ALORITHMS & ROBOTICS (V1)

Davidor Y

ISBN 10: 9810202172 / ISBN 13: 9789810202170

Published by World Scientific, 1991

About this Item

GENETIC ALORITHMS & ROBOTICS (V1) | Davidor Y | Buch | Gebunden | Englisch | 1991 | World Scientific | EAN 9789810202170 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Seller Inventory # 101737530

Bibliographic Details

• Title: GENETIC ALORITHMS & ROBOTICS (V1)
• Publisher: World Scientific
• Publication Date: 1991
• Language: English
• ISBN 10: 9810202172
• ISBN 13: 9789810202170
• Binding: Buch
• Condition: Neu
• Dimensions: 235W x 157H x 15D millimeters 235 millimeters width by 157 millimeters height by 15 millimeters depth
• Weight: 423 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Classical optimization methodologies fall short in very large and complex domains. In this book is suggested a different approach to optimization, an approach which is based on the 'blind' and heuristic mechanisms of evolution and population genetics. The genetic approach to optimization introduces a new philosophy to optimization in general, but particularly to engineering. By introducing the 'genetic' approach to robot trajectory generation, much can be learned about the adaptive mechanisms of evolution and how these mechanisms can solve real world problems. It is suggested further that optimization at large may benefit greatly from the adaptive optimization exhibited by natural systems when attempting to solve complex optimization problems, and that the determinism of classical optimization models may sometimes be an obstacle in nonlinear systems.

This book is unique in that it reports in detail on an application of genetic algorithms to a real world problem, and explains the considerations taken during the development work. Futhermore, it addresses robotics in two new aspects: the optimization of the trajectory specification which has so far been done by human operators and has not received much attention for both automation and optimization, and the introduction of a heuristic strategy to a field predominated by deterministic strategies.