Multiobjective and Stochastic Optimization Based on Parametric Optimization

Multiobjective and Stochastic Optimization Based on Parametric Optimization PDF Author: Jürgen Guddat
Publisher:
ISBN:
Category : Mathematical analysis
Languages : en
Pages : 184

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Multiobjective and Stochastic Optimization Based on Parametric Optimization

Multiobjective and Stochastic Optimization Based on Parametric Optimization PDF Author: Jürgen Guddat
Publisher:
ISBN:
Category : Mathematical analysis
Languages : en
Pages : 184

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Multiobjective and Stochastic Optimization Based on Parameter Optimization

Multiobjective and Stochastic Optimization Based on Parameter Optimization PDF Author: Jürgen Guddat
Publisher:
ISBN:
Category :
Languages : en
Pages : 175

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Multiobjective and Stochastic Optimization Based on Parametric Optimization

Multiobjective and Stochastic Optimization Based on Parametric Optimization PDF Author: Collet's Holdings, Ltd. Staff
Publisher:
ISBN: 9780785511816
Category :
Languages : en
Pages :

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Mathematical research

Mathematical research PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 175

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Nature-inspired Methods for Stochastic, Robust and Dynamic Optimization

Nature-inspired Methods for Stochastic, Robust and Dynamic Optimization PDF Author: Javier Del Ser Lorente
Publisher: BoD – Books on Demand
ISBN: 1789233283
Category : Mathematics
Languages : en
Pages : 71

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Book Description
Nature-inspired algorithms have a great popularity in the current scientific community, being the focused scope of many research contributions in the literature year by year. The rationale behind the acquired momentum by this broad family of methods lies on their outstanding performance evinced in hundreds of research fields and problem instances. This book gravitates on the development of nature-inspired methods and their application to stochastic, dynamic and robust optimization. Topics covered by this book include the design and development of evolutionary algorithms, bio-inspired metaheuristics, or memetic methods, with empirical, innovative findings when used in different subfields of mathematical optimization, such as stochastic, dynamic, multimodal and robust optimization, as well as noisy optimization and dynamic and constraint satisfaction problems.

Linear and Nonlinear Optimization, Stochastic Optimization, Multiobjective Optimization, Parametric Optimization, Stability

Linear and Nonlinear Optimization, Stochastic Optimization, Multiobjective Optimization, Parametric Optimization, Stability PDF Author: Ursula Sebastian
Publisher:
ISBN:
Category :
Languages : en
Pages : 109

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Multiobjective Optimization

Multiobjective Optimization PDF Author: Jürgen Branke
Publisher: Springer
ISBN: 3540889086
Category : Computers
Languages : en
Pages : 481

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Multiobjective optimization deals with solving problems having not only one, but multiple, often conflicting, criteria. Such problems can arise in practically every field of science, engineering and business, and the need for efficient and reliable solution methods is increasing. The task is challenging due to the fact that, instead of a single optimal solution, multiobjective optimization results in a number of solutions with different trade-offs among criteria, also known as Pareto optimal or efficient solutions. Hence, a decision maker is needed to provide additional preference information and to identify the most satisfactory solution. Depending on the paradigm used, such information may be introduced before, during, or after the optimization process. Clearly, research and application in multiobjective optimization involve expertise in optimization as well as in decision support. This state-of-the-art survey originates from the International Seminar on Practical Approaches to Multiobjective Optimization, held in Dagstuhl Castle, Germany, in December 2006, which brought together leading experts from various contemporary multiobjective optimization fields, including evolutionary multiobjective optimization (EMO), multiple criteria decision making (MCDM) and multiple criteria decision aiding (MCDA). This book gives a unique and detailed account of the current status of research and applications in the field of multiobjective optimization. It contains 16 chapters grouped in the following 5 thematic sections: Basics on Multiobjective Optimization; Recent Interactive and Preference-Based Approaches; Visualization of Solutions; Modelling, Implementation and Applications; and Quality Assessment, Learning, and Future Challenges.

Stochastic Versus Fuzzy Approaches to Multiobjective Mathematical Programming under Uncertainty

Stochastic Versus Fuzzy Approaches to Multiobjective Mathematical Programming under Uncertainty PDF Author: Shi-Yu Huang
Publisher: Springer Science & Business Media
ISBN: 940092111X
Category : Business & Economics
Languages : en
Pages : 425

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Book Description
Operations Research is a field whose major contribution has been to propose a rigorous fonnulation of often ill-defmed problems pertaining to the organization or the design of large scale systems, such as resource allocation problems, scheduling and the like. While this effort did help a lot in understanding the nature of these problems, the mathematical models have proved only partially satisfactory due to the difficulty in gathering precise data, and in formulating objective functions that reflect the multi-faceted notion of optimal solution according to human experts. In this respect linear programming is a typical example of impressive achievement of Operations Research, that in its detenninistic fonn is not always adapted to real world decision-making : everything must be expressed in tenns of linear constraints ; yet the coefficients that appear in these constraints may not be so well-defined, either because their value depends upon other parameters (not accounted for in the model) or because they cannot be precisely assessed, and only qualitative estimates of these coefficients are available. Similarly the best solution to a linear programming problem may be more a matter of compromise between various criteria rather than just minimizing or maximizing a linear objective function. Lastly the constraints, expressed by equalities or inequalities between linear expressions, are often softer in reality that what their mathematical expression might let us believe, and infeasibility as detected by the linear programming techniques can often been coped with by making trade-offs with the real world.

Operations Research ’93

Operations Research ’93 PDF Author: Achim Bachem
Publisher: Springer Science & Business Media
ISBN: 3642469558
Category : Business & Economics
Languages : en
Pages : 574

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Book Description
This proceedings volume contains extended abstracts of talks presented at the 18th Symposium on Operations Research held at the University of Cologne, September 1-3, 1993. The Symposia on Operations Research are the annual meetings of the Gesellschaft fiir Mathematik, Okonometrie und Operations Research (GMOOR), a scientific society providing a link between research and applications in the areas of applied mathematics, economics and operations research. The broad range of interests and scientific activities covered by GMOOR and its members was demonstrated by about 250 talks presented at the 18th Symposium. As in l'ecent years, emphasis was placed on optimization and stochastics, this year with a special focus on combinatorial optimization and discrete mathematics. We appreciate that with sections on parallel and distributed computing and on scientific computing also new fields could be integrated into the scope of the GMOOR. This book contains extended abstracts of most of the papers presented at the con ference. Long versions and full papers of the talks are expected to appear elsewhere in refereed periodicals. The contributions were divided into sixteen sections: (1) Theory of Optimization, (2) Computational Methods of Optimization, (3) Combinatorial Optimization and Dis crete Mathematics, (4) Scientific Computing, (5) Decision Theory, (6) Mathematical Economics and Game Theory, (7) Banking, Finance and Insurance, (8) Econometrics, (9) Macroeconomics and Economic Theory, (10) Stochastics, (11) Production and Lo gistics, (12) System and Control Theory, (13) Routing and Scheduling, (14) Knowledge Based Systems, (15) Information Systems and (16) Parallel and Distributed Compu ting.

Approximation and Optimization

Approximation and Optimization PDF Author: Juan A. Gomez-Fernandez
Publisher: Springer
ISBN: 3540460055
Category : Mathematics
Languages : en
Pages : 285

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