Monte Carlo Methods in Fuzzy Optimization

Monte Carlo Methods in Fuzzy Optimization

This book is a concise and readable introduction to Monte Carlo methods to find good approximate solutions to fuzzy optimization problems. Various basic applications and illustrative examples are presented in an understandable way. The aim of the book is to convince the reader that Monte Carlo metho...

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Bibliographic Details
Main Authors: Buckley, James J. (Author), Jowers, Leonard J. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
Series:Studies in Fuzziness and Soft Computing, 222
Subjects:
Computer science.
Artificial intelligence.
Applied mathematics.
Engineering mathematics.
Computer Science.
Artificial Intelligence (incl. Robotics).
Appl.Mathematics/Computational Methods of Engineering.
Online Access:Full Text via HEAL-Link
Description
Summary:This book is a concise and readable introduction to Monte Carlo methods to find good approximate solutions to fuzzy optimization problems. Various basic applications and illustrative examples are presented in an understandable way. The aim of the book is to convince the reader that Monte Carlo methods can be useful in generating approximate solutions to fuzzy optimization problems.
Physical Description:XIII, 260 p. online resource.
ISBN:9783540762904
ISSN:1434-9922 ;

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