Evolutionary Multi-Criterion Optimization, Ant?nio Gaspar-Cunha; Carlos Henggeler Antunes; Ca

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: 97820.00 T
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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.

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: 81990.00 T
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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.

Автор: Evangelos Triantaphyllou
Название: Multi-criteria Decision Making Methods
ISBN: 1441948384 ISBN-13(EAN): 9781441948380
Издательство: Springer
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Цена: 231990.00 T
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Описание: Multi-Criteria Decision Making (MCDM) has been one of the fastest growing problem areas in many disciplines. The author extensively compares, both theoretically and empirically, real-life MCDM issues and makes the reader aware of quite a number of surprising `abnormalities` with some of these methods.

Автор: Constantin Zopounidis; Michael Doumpos
Название: Intelligent Decision Aiding Systems Based on Multiple Criteria for Financial Engineering
ISBN: 1461371104 ISBN-13(EAN): 9781461371106
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book provides a new point of view on the field of financial engineering, through the application of multicriteria intelligent decision aiding systems.

Автор: Bechikh
Название: Recent Advances in Evolutionary Multi-objective Optimization
ISBN: 3319429779 ISBN-13(EAN): 9783319429779
Издательство: Springer
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Цена: 111790.00 T
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Описание: This book covers the most recent advances in the field of evolutionary multiobjective optimization. With the aim of drawing the attention of up-and coming scientists towards exciting prospects at the forefront of computational intelligence, the authors have made an effort to ensure that the ideas conveyed herein are accessible to the widest audience. The book begins with a summary of the basic concepts in multi-objective optimization. This is followed by brief discussions on various algorithms that have been proposed over the years for solving such problems, ranging from classical (mathematical) approaches to sophisticated evolutionary ones that are capable of seamlessly tackling practical challenges such as non-convexity, multi-modality, the presence of multiple constraints, etc. Thereafter, some of the key emerging aspects that are likely to shape future research directions in the field are presented. These include: optimization in dynamic environments, multi-objective bilevel programming, handling high dimensionality under many objectives, and evolutionary multitasking. In addition to theory and methodology, this book describes several real-world applications from various domains, which will expose the readers to the versatility of evolutionary multi-objective optimization.

Автор: M.C. Bhuvaneswari
Название: Application of Evolutionary Algorithms for Multi-objective Optimization in VLSI and Embedded Systems
ISBN: 8132219570 ISBN-13(EAN): 9788132219576
Издательство: Springer
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Цена: 130430.00 T
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Описание: This book describes how evolutionary algorithms (EA), including genetic algorithms (GA) and particle swarm optimization (PSO) can be utilized for solving multi-objective optimization problems in the area of embedded and VLSI system design.

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: 93160.00 T
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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.

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: 121110.00 T
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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.

Автор: Joanna Ko?odziej
Название: Evolutionary Hierarchical Multi-Criteria Metaheuristics for Scheduling in Large-Scale Grid Systems
ISBN: 3642436617 ISBN-13(EAN): 9783642436611
Издательство: Springer
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Цена: 104480.00 T
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Описание: This book explores hot topics in the design, administration and management of dynamic grid environments. The emphasis is on preferences and autonomous decisions of system users, secure access to processed data and services and the use of green technologies.

Автор: Cengiz Kahraman
Название: Fuzzy Multi-Criteria Decision Making
ISBN: 144194575X ISBN-13(EAN): 9781441945754
Издательство: Springer
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Цена: 181670.00 T
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Описание: In summarizing the concepts and results of the most popular fuzzy multicriteria methods, using numerical examples, this work examines all the most recently developed methods. Each one of the 22 chapters include practical applications along with new results.

Автор: Cengiz Kahraman
Название: Fuzzy Multi-Criteria Decision Making
ISBN: 0387768122 ISBN-13(EAN): 9780387768120
Издательство: Springer
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Цена: 167700.00 T
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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.

Автор: Fabrizio D`Errico
Название: Material Selections by a Hybrid Multi-Criteria Approach
ISBN: 3319130293 ISBN-13(EAN): 9783319130293
Издательство: Springer
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Цена: 52240.00 T
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Описание: This Brief presents a new method that is based on the author and his students` shared experience in applying a structured procedure that has as its main goal the creation of a material selection technique that uses language and employs a platform that is not restricted to engineers.