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.
Автор: Kay Chen Tan; Eik Fun Khor; Tong Heng Lee Название: Multiobjective Evolutionary Algorithms and Applications ISBN: 1849969353 ISBN-13(EAN): 9781849969352 Издательство: Springer Рейтинг: Цена: 23058.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Tapan P. Bagchi Название: Multiobjective Scheduling by Genetic Algorithms ISBN: 1461373875 ISBN-13(EAN): 9781461373872 Издательство: Springer Рейтинг: Цена: 27950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Multiobjective Scheduling by Genetic Algorithms describes methods for developing multiobjective solutions to common production scheduling equations modeling in the literature as flowshops, job shops and open shops.
Автор: Masatoshi Sakawa Название: Fuzzy Sets and Interactive Multiobjective Optimization ISBN: 0306443376 ISBN-13(EAN): 9780306443374 Издательство: Springer Рейтинг: Цена: 23058.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Integrates ambiguous parameters in problem-formulation with fuzzy goals for multiobjective optimization into a unified methodology. This monograph is intended for advanced undergraduate and graduate students and specialists in systems analysis in such fields as public decision-making, administrative planning, and managerial decision-making.
Автор: Claus Hillermeier Название: Nonlinear Multiobjective Optimization ISBN: 3034895011 ISBN-13(EAN): 9783034895019 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Arguably, many industrial optimization problems are of the multiobjective type.
Описание: Research on multiobjective problems can be broken down into two broad categories: multiobjective optimization and multicriterion decision theory. This literature is directly xii MULTIOBJECTIVE OPTIMIZATION applicable to multiobjective optimization and provides much needed insight into the subjective character of that problem.
Автор: Kaisa Miettinen Название: Nonlinear Multiobjective Optimization ISBN: 1461375444 ISBN-13(EAN): 9781461375449 Издательство: Springer Рейтинг: Цена: 48913.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Problems with multiple objectives and criteria are generally known as multiple criteria optimization or multiple criteria decision-making (MCDM) problems.
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.
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.
Автор: Gabriele Eichfelder Название: Adaptive Scalarization Methods in Multiobjective Optimization ISBN: 3642098045 ISBN-13(EAN): 9783642098048 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents adaptive solution methods for multiobjective optimization problems based on parameter dependent scalarization approaches. Readers will benefit from the new adaptive methods and ideas for solving multiobjective optimization.
Автор: Yann Collette; Patrick Siarry Название: Multiobjective Optimization ISBN: 3642072836 ISBN-13(EAN): 9783642072833 Издательство: Springer Рейтинг: Цена: 12152.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This text offers many multiobjective optimization methods accompanied by analytical examples, and it treats problems not only in engineering but also operations research and management.
Описание: This book presents recent developments and applications in multiobjective control of time-discrete systems with a finite set of states. It describes the dynamics of such systems as well as characterized game theoretical properties.
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