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Multiple Criteria Decision Making by Multiobjective Optimization, Kaliszewski


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Цена: 7685.00р.
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Автор: Kaliszewski
Название:  Multiple Criteria Decision Making by Multiobjective Optimization
ISBN: 9783319327556
Издательство: Springer
Классификация:


ISBN-10: 3319327550
Обложка/Формат: Hardback
Страницы: 118
Вес: 0.38 кг.
Дата издания: 2016
Серия: International Series in Operations Research & Management Science
Язык: English
Иллюстрации: 25 black & white illustrations, biography
Размер: 166 x 242 x 15
Читательская аудитория: Graduate/advanced undergraduate textbook
Основная тема: Business/Economics
Подзаголовок: A Toolbox
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Thistextbook approaches optimization from a multi-aspect, multi-criteria perspective.By using a Multiple Criteria Decision Making (MCDM) approach, it avoids thelimits and oversimplifications that can come with optimization models with onecriterion. The book is presented in a concise form, addressing how to solve decisionproblems in sequences of intelligence, modelling, choice and review phases,often iterated, to identify the most preferred decision variant. The approachtaken is human-centric, with the user taking the final decision is a sole andsovereign actor in the decision making process. To ensure generality, noassumption about the Decision Maker preferences or behavior is made. The presentationof these concepts is illustrated by numerous examples, figures, and problems tobe solved with the help of downloadable spreadsheets. This electroniccompanion contains models of problems to be solved built in Excel spreadsheetfiles.Optimizationmodels are too often oversimplifications of decision problems met in practice.For instance, modeling company performance by an optimization model in whichthe criterion function is short-term profit to be maximized, does not fullyreflect the essence of business management. The company’s managing staff isaccountable not only for operational decisions, but also for actions whichshall result in the company ability to generate a decent profit in the future.This calls for management decisions and actions which ensure short-termprofitability, but also maintaining long-term relations with clients,introducing innovative products, financing long-term investments, etc. Each ofthose additional, though indispensable actions and their effects can be modeledseparately, case by case, by an optimization model with a criterion functionadequately selected. However, in each case the same set of constraintsrepresents the range of company admissible actions. The aim and the scope ofthis textbook is to present methodologies and methods enabling modeling of suchactions jointly.
Дополнительное описание: Introduction.- Solving Decision Problems.- Decision Problem: Selection of a Single Variant.- Derivation of Efficient Variants.- Decision Problem: Selection of a Variant Portfolio - The Discrete Case.- Decision Problem: Selection of a Variant Portfolio - T



Sequential Approximate Multiobjective Optimization Using Computational Intelligence

Автор: Hirotaka Nakayama; Yeboon Yun; Min Yoon
Название: Sequential Approximate Multiobjective Optimization Using Computational Intelligence
ISBN: 3642100309 ISBN-13(EAN): 9783642100307
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This book highlights a new direction of multiobjective optimization. It introduces sophisticated methods for sequential approximate multiobjective optimization using computational intelligence along with real applications, mainly engineering problems.

Sequential Approximate Multiobjective Optimization Using Computational Intelligence

Автор: Hirotaka Nakayama; Yeboon Yun; Min Yoon
Название: Sequential Approximate Multiobjective Optimization Using Computational Intelligence
ISBN: 3540889094 ISBN-13(EAN): 9783540889090
Издательство: Springer
Рейтинг:
Цена: 19564.00 р.
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Описание: This book highlights a new direction of multiobjective optimization. It introduces sophisticated methods for sequential approximate multiobjective optimization using computational intelligence along with real applications, mainly engineering problems.

Fuzzy Stochastic Multiobjective Programming

Автор: Masatoshi Sakawa; Ichiro Nishizaki; Hideki Katagir
Название: Fuzzy Stochastic Multiobjective Programming
ISBN: 1461428068 ISBN-13(EAN): 9781461428060
Издательство: Springer
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Цена: 23757.00 р.
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Описание: With a stress on interactive decision-making, this work breaks new ground by covering both the random nature of events related to environments, and the fuzziness of human judgements. The text runs from mathematical preliminaries to future research directions.

Multiobjective Evolutionary Algorithms and Applications

Автор: Kay Chen Tan; Eik Fun Khor; Tong Heng Lee
Название: Multiobjective Evolutionary Algorithms and Applications
ISBN: 1849969353 ISBN-13(EAN): 9781849969352
Издательство: Springer
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Цена: 23058.00 р.
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Описание: Evolutionary multiobjective optimization is currently gaining a lot of attention, particularly for researchers in the evolutionary computation communities. Covers the authors` recent research in the area of multiobjective evolutionary algorithms as well as its practical applications.


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