Nonlinear Multiobjective Optimization

Miettinen, K.M

ISBN 10: 0792382781 / ISBN 13: 9780792382782

Edité par Kluwer Academic Publishers, 1998

A propos de cet article

This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,700grams, ISBN:9780792382782.

N° de réf. du vendeur 8567792

Détails bibliographiques

• Titre: Nonlinear Multiobjective Optimization
• Éditeur: Kluwer Academic Publishers
• Date de parution: 1998
• Langue: anglais
• ISBN à 10 chiffres: 0792382781
• ISBN à 13 chiffres: 9780792382782
• Reliure: Couverture rigide
• État de l'article: Good
• Catalogues du vendeur:
  • Business

A propos de ce titre

Synopsis

Problems with multiple objectives and criteria are generally known as multiple criteria optimization or multiple criteria decision-making (MCDM) problems. So far, these types of problems have typically been modelled and solved by means of linear programming. However, many real-life phenomena are of a nonlinear nature, which is why we need tools for nonlinear programming capable of handling several conflicting or incommensurable objectives. In this case, methods of traditional single objective optimization and linear programming are not enough; we need new ways of thinking, new concepts, and new methods - nonlinear multiobjective optimization.
Nonlinear Multiobjective Optimization provides an extensive, up-to-date, self-contained and consistent survey, review of the literature and of the state of the art on nonlinear (deterministic) multiobjective optimization, its methods, its theory and its background. The amount of literature on multiobjective optimization is immense. The treatment in this book is based on approximately 1500 publications in English printed mainly after the year 1980.
Problems related to real-life applications often contain irregularities and nonsmoothnesses. The treatment of nondifferentiable multiobjective optimization in the literature is rather rare. For this reason, this book contains material about the possibilities, background, theory and methods of nondifferentiable multiobjective optimization as well.
This book is intended for both researchers and students in the areas of (applied) mathematics, engineering, economics, operations research and management science; it is meant for both professionals and practitioners in many different fields of application. The intention has been to provide a consistent summary that may help in selecting an appropriate method for the problem to be solved. It is hoped the extensive bibliography will be of value to researchers.