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Evolutionary Multi-Criterion Optimization, Kalyanmoy Deb; Erik Goodman; Carlos A. Coello Coel


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Автор: Kalyanmoy Deb; Erik Goodman; Carlos A. Coello Coel
Название:  Evolutionary Multi-Criterion Optimization
ISBN: 9783030125974
Издательство: Springer
Классификация:




ISBN-10: 3030125971
Обложка/Формат: Soft cover
Страницы: 757
Вес: 1.18 кг.
Дата издания: 2019
Серия: Theoretical Computer Science and General Issues
Язык: English
Издание: 1st ed. 2019
Иллюстрации: 228 illustrations, color; 146 illustrations, black and white; xx, 757 p. 374 illus., 228 illus. in color.
Размер: 234 x 156 x 39
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Подзаголовок: 10th International Conference, EMO 2019, East Lansing, MI, USA, March 10-13, 2019, Proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание:
This book constitutes the refereed proceedings of the 10th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2019 held in East Lansing, MI, USA, in March 2019.
The 59 revised full papers were carefully reviewed and selected from 76 submissions. The papers are divided into 8 categories, each representing a key area of current interest in the EMO ?eld today. They include theoretical developments, algorithmic developments, issues in many-objective optimization, performance metrics, knowledge extraction and surrogate-based EMO, multi-objective combinatorial problem solving, MCDM and interactive EMO methods, and applications.



Evolutionary Multi-Criterion Optimization

Автор: Ant?nio Gaspar-Cunha; Carlos Henggeler Antunes; Ca
Название: Evolutionary Multi-Criterion Optimization
ISBN: 331915933X ISBN-13(EAN): 9783319159331
Издательство: Springer
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Цена: 8944.00 р.
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Описание: This book constitutes the refereed proceedings of the 8th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2015 held in Guimaraes, Portugal in March/April 2015.

Evolutionary Multi-Criterion Optimization

Автор: Ant?nio Gaspar-Cunha; Carlos Henggeler Antunes; Ca
Название: Evolutionary Multi-Criterion Optimization
ISBN: 3319158910 ISBN-13(EAN): 9783319158914
Издательство: Springer
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Цена: 12298.00 р.
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Описание: This book constitutes the refereed proceedings of the 8th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2015 held in Guimaraes, Portugal in March/April 2015.

Evolutionary Multi-Criterion Optimization

Автор: Heike Trautmann; G?nter Rudolph; Kathrin Klamroth;
Название: Evolutionary Multi-Criterion Optimization
ISBN: 3319541560 ISBN-13(EAN): 9783319541563
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book constitutes the refereed proceedings of the 9th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2017 held in Munster, Germany in March 2017. The EMO 2017 aims to discuss all aspects of EMO development and deployment, including theoretical foundations; parallel EMO models; EMO algorithm implementations.

Multiple Criteria Decision Making by Multiobjective Optimization

Автор: Kaliszewski
Название: Multiple Criteria Decision Making by Multiobjective Optimization
ISBN: 3319327550 ISBN-13(EAN): 9783319327556
Издательство: Springer
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Цена: 7685.00 р.
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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.

Multi-criteria decision analysis in management

Название: Multi-criteria decision analysis in management
ISBN: 1799822176 ISBN-13(EAN): 9781799822172
Издательство: Mare Nostrum (Eurospan)
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Цена: 24948.00 р.
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Описание: Provides innovative insights into the rationale behind using MCDM techniques to solve decision-making problems, and provides comprehensive discussions on these techniques from their inception, development, and growth to their advancements and applications.

Multi-criteria Decision Analysis for Supporting the Selection of

Автор: Ali Jahan
Название: Multi-criteria Decision Analysis for Supporting the Selection of
ISBN: 0081005369 ISBN-13(EAN): 9780081005361
Издательство: Elsevier Science
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Цена: 11620.00 р.
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Описание: Multi-criteria Decision Analysis for Supporting the Selection of Engineering Materials in Product Design, Second Edition, provides readers with tactics they can use to optimally select materials to satisfy complex design problems when they are faced with the vast range of materials available. . Current approaches to materials selection range from the use of intuition and experience, to more formalized computer-based methods, such as electronic databases with search engines to facilitate the materials selection process. Recently, multi-criteria decision-making (MCDM) methods have been applied to materials selection, demonstrating significant capability for tackling complex design problems. . This book describes the rapidly growing field of MCDM and its application to materials selection. It aids readers in producing successful designs by improving the decision-making process. This new edition updates and expands previous key topics, including new chapters on materials selection in the context of design problem-solving and multiple objective decision-making, also presenting a significant amount of additional case studies that will aid in the learning process.

Evolutionary Multi-Criterion Optimization

Автор: Carlos M. Fonseca; Xavier Gandibleux; Jin-Kao Hao;
Название: Evolutionary Multi-Criterion Optimization
ISBN: 3642010199 ISBN-13(EAN): 9783642010194
Издательство: Springer
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Цена: 14673.00 р.
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Описание: Constitutes the refereed proceedings of the 5th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2009, held in Nantes, France in April 2009. This book presents 39 revised full papers together with 5 invited talks that were reviewed and selected from 72 submissions.

Evolutionary Multi-Criterion Optimization

Автор: Eckart Zitzler; Kalyanmoy Deb; Lothar Thiele; Carl
Название: Evolutionary Multi-Criterion Optimization
ISBN: 3540417451 ISBN-13(EAN): 9783540417453
Издательство: Springer
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Цена: 18167.00 р.
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Описание: A collection of papers organized in sections on algorithm improvements, performance assessment and comparison, constraint handling and problem decomposition, uncertainty and noise, hybrid and alternative methods, scheduling, and applications of multi-objective optimization in a variety of fields.

Fuzzy Optimization and Multi-Criteria Decision Making in Digital Marketing

Автор: Anil Kumar, Manoj Kumar Dash
Название: Fuzzy Optimization and Multi-Criteria Decision Making in Digital Marketing
ISBN: 1466688084 ISBN-13(EAN): 9781466688087
Издательство: Mare Nostrum (Eurospan)
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Цена: 29106.00 р.
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Описание: Applies fuzzy theory and multi-criteria decision making principles for better practice in the digital business environment. This research-focused publication features discussions on several key concepts useful for modern business professionals including decision-making models and fuzzy theory applied to internet marketing, consumer behavior, and the optimization of strategic marketing plans.

Multiple Criteria Optimization

Автор: Xavier Gandibleux
Название: Multiple Criteria Optimization
ISBN: 1402071280 ISBN-13(EAN): 9781402071287
Издательство: Springer
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Цена: 32142.00 р.
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Описание: Includes chapters on particular types of problems: Theory of Vector Optimization, Nonlinear Multiobjective Programming, Fuzzy Multiobjective Programming, Multiobjective Combinatorial Optimization, Multicriteria Scheduling Problems.

Multi-Criteria Decision Analysis via Ratio and Difference Judgement

Автор: Freerk A. Lootsma
Название: Multi-Criteria Decision Analysis via Ratio and Difference Judgement
ISBN: 0792356691 ISBN-13(EAN): 9780792356691
Издательство: Springer
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Цена: 23058.00 р.
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Описание: The point of departure in the present book is that the decision makers, involved in the evaluation of alternatives under conflicting criteria, express their preferential judgement by estimating ratios of subjective values or differences of the corresponding logarithms, the so-called grades.

Fuzzy Multi-Criteria Decision Making

Автор: Cengiz Kahraman
Название: Fuzzy Multi-Criteria Decision Making
ISBN: 0387768122 ISBN-13(EAN): 9780387768120
Издательство: Springer
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Цена: 25155.00 р.
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Описание: Presents fuzzy multiattribute and multiobjective decision-making methodologies. This work examines various fuzzy multicriteria methods, such as fuzzy AHP, fuzzy TOPSIS, interactive fuzzy multiobjective stochastic linear programming, fuzzy multiobjective dynamic programming, grey fuzzy multiobjective optimization, and more.


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