Genetic Algorithms and Engineering Optimization

Im Mittelpunkt dieses Buches steht eines der wichtigsten Optimierungsverfahren der industriellen Ingenieurtechnik: Mit Hilfe genetischer Algorithmen lassen sich Qualität, Design und Zuverlässigkeit von Produkten entscheidend verbessern. Das Verfahren beruht auf der Wahrscheinlichkeitstheorie und lehnt sich an die Prinzipien der biologischen Vererbung an: Die Eigenschaften des Produkts werden, unter Beachtung der äußeren Randbedingungen, schrittweise optimiert. Ein hochaktueller Band international anerkannter Autoren. (03/00)

List of contents

Foundations of Genetic Algorithms.
 
Combinatorial Optimization Problems.
 
Multiobjective Optimization Problems.
 
Fuzzy Optimization Problems.
 
Reliability Design Problems.
 
Scheduling Problems.
 
Advanced Transportation Problems.
 
Network Design and Routing.
 
Manufacturing Cell Design.
 
References.
 
Index.

About the author

MITSUO GEN, PhD, is a professor in the Department of Industrial and Information Systems Engineering at the Ashikaga Institute of Technology in Ashikaga, Japan.

RUNWEI CHENG, PhD, is an associate professor in the Institute of Systems Engineering at Northeastern University in Shenyang, China.

Summary

Genetic algorithms are probabilistic search techniques based on the principles of biological evolution. As a biological organism evolves to more fully adapt to its environment, a genetic algorithm follows a path of analysis from which a design evolves, one that is optimal for the environmental constraints placed upon it.

Product details

• Authors: Runwei Cheng, Cheng Runwei, GEN, M Gen, Mitsu Gen, Mitsuo Gen, Mitsuo (Ashikaga Institute of Technology Gen, Mitsuo Cheng Gen, Gen Mitsuo, GEN MITSUO CHENG RUNWEI
• Publisher: Wiley, John and Sons Ltd
• Languages: English
• Product format: Hardback
• Released: 13.01.2000
• EAN: 9780471315315
• ISBN: 978-0-471-31531-5
• No. of pages: 512
• Series: Wiley Series in Engineering Design and Automation; Wiley Series in Engineering De; Wiley Series in Engineering Design and Automation; Engineering Design and Automation
• Subjects: Guides; Natural sciences, medicine, IT, technology > IT, data processing > IT; Optimierung, genetischer Algorithmus, Industrial Engineering, Industrielle Verfahrenstechnik, Produktion i. d. Industriellen Verfahrenstechnik, Industrial Engineering / Manufacturing