Optimization For Decision Making Ii

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Optimization for Decision Making II

Víctor Yepes,José M. Moreno-Jiménez
Optimization for Decision Making II Book PDF

Author : Víctor Yepes,José M. Moreno-Jiménez
Publisher : MDPI
Page : 300 pages
File Size : 49,8 Mb
Release : 2020-11-25
Category : Technology & Engineering
ISBN : 9783039436071

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Optimization for Decision Making II by Víctor Yepes,José M. Moreno-Jiménez Pdf

In the current context of the electronic governance of society, both administrations and citizens are demanding the greater participation of all the actors involved in the decision-making process relative to the governance of society. This book presents collective works published in the recent Special Issue (SI) entitled “Optimization for Decision Making II”. These works give an appropriate response to the new challenges raised, the decision-making process can be done by applying different methods and tools, as well as using different objectives. In real-life problems, the formulation of decision-making problems and the application of optimization techniques to support decisions are particularly complex and a wide range of optimization techniques and methodologies are used to minimize risks, improve quality in making decisions or, in general, to solve problems. In addition, a sensitivity or robustness analysis should be done to validate/analyze the influence of uncertainty regarding decision-making. This book brings together a collection of inter-/multi-disciplinary works applied to the optimization of decision making in a coherent manner.

Optimization for Decision Making

Víctor Yepes,José María Moreno-Jiménez
Optimization for Decision Making Book PDF

Author : Víctor Yepes,José María Moreno-Jiménez
Publisher : Unknown
Page : 290 pages
File Size : 43,6 Mb
Release : 2020-10-08
Category : Electronic
ISBN : 3039432206

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Optimization for Decision Making by Víctor Yepes,José María Moreno-Jiménez Pdf

In the current context of the electronic governance of society, both administrations and citizens are demanding greater participation of all the actors involved in the decision-making process relative to the governance of society. This book presents collective works published in the recent Special Issue (SI) entitled "Optimization for Decision Making". These works give an appropriate response to the new challenges raised, the decision-making process can be done by applying different methods and tools, as well as using different objectives. In real-life problems, the formulation of decision-making problems and application of optimization techniques to support decisions are particularly complex and a wide range of optimization techniques and methodologies are used to minimize risks, improve quality in making decisions, or, in general, to solve problems. In addition, a sensitivity or robustness analysis should be done to validate/analyze the influence of uncertainty regarding decision-making. This book brings together a collection of inter-/multi-disciplinary works applied to the optimization for decision making in a coherent manner.

Introduction to Optimization-Based Decision-Making

Joao Luis de Miranda
Introduction to Optimization Based Decision Making Book PDF

Author : Joao Luis de Miranda
Publisher : CRC Press
Page : 263 pages
File Size : 43,8 Mb
Release : 2021-12-24
Category : Business & Economics
ISBN : 9781351778725

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Introduction to Optimization-Based Decision-Making by Joao Luis de Miranda Pdf

The large and complex challenges the world is facing, the growing prevalence of huge data sets, and the new and developing ways for addressing them (artificial intelligence, data science, machine learning, etc.), means it is increasingly vital that academics and professionals from across disciplines have a basic understanding of the mathematical underpinnings of effective, optimized decision-making. Without it, decision makers risk being overtaken by those who better understand the models and methods, that can best inform strategic and tactical decisions. Introduction to Optimization-Based Decision-Making provides an elementary and self-contained introduction to the basic concepts involved in making decisions in an optimization-based environment. The mathematical level of the text is directed to the post-secondary reader, or university students in the initial years. The prerequisites are therefore minimal, and necessary mathematical tools are provided as needed. This lean approach is complemented with a problem-based orientation and a methodology of generalization/reduction. In this way, the book can be useful for students from STEM fields, economics and enterprise sciences, social sciences and humanities, as well as for the general reader interested in multi/trans-disciplinary approaches. Features Collects and discusses the ideas underpinning decision-making through optimization tools in a simple and straightforward manner Suitable for an undergraduate course in optimization-based decision-making, or as a supplementary resource for courses in operations research and management science Self-contained coverage of traditional and more modern optimization models, while not requiring a previous background in decision theory

Optimization for Decision Making

Katta G. Murty
Optimization for Decision Making Book PDF

Author : Katta G. Murty
Publisher : Springer Science & Business Media
Page : 502 pages
File Size : 43,8 Mb
Release : 2010-03-14
Category : Mathematics
ISBN : 9781441912916

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Optimization for Decision Making by Katta G. Murty Pdf

Linear programming (LP), modeling, and optimization are very much the fundamentals of OR, and no academic program is complete without them. No matter how highly developed one’s LP skills are, however, if a fine appreciation for modeling isn’t developed to make the best use of those skills, then the truly ‘best solutions’ are often not realized, and efforts go wasted. Katta Murty studied LP with George Dantzig, the father of linear programming, and has written the graduate-level solution to that problem. While maintaining the rigorous LP instruction required, Murty's new book is unique in his focus on developing modeling skills to support valid decision making for complex real world problems. He describes the approach as 'intelligent modeling and decision making' to emphasize the importance of employing the best expression of actual problems and then applying the most computationally effective and efficient solution technique for that model.

Decision Making and Optimization

Martin Gavalec,Jaroslav Ramík,Karel Zimmermann
Decision Making and Optimization Book PDF

Author : Martin Gavalec,Jaroslav Ramík,Karel Zimmermann
Publisher : Springer
Page : 225 pages
File Size : 45,8 Mb
Release : 2014-10-08
Category : Business & Economics
ISBN : 9783319083230

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Decision Making and Optimization by Martin Gavalec,Jaroslav Ramík,Karel Zimmermann Pdf

The book is a benefit for graduate and postgraduate students in the areas of operations research, decision theory, optimization theory, linear algebra, interval analysis and fuzzy sets. The book will also be useful for the researchers in the respective areas. The first part of the book deals with decision making problems and procedures that have been established to combine opinions about alternatives related to different points of view. Procedures based on pairwise comparisons are thoroughly investigated. In the second part we investigate optimization problems where objective functions and constraints are characterized by extremal operators such as maximum, minimum or various triangular norms (t-norms). Matrices in max-min algebra are useful in applications such as automata theory, design of switching circuits, logic of binary relations, medical diagnosis, Markov chains, social choice, models of organizations, information systems, political systems and clustering. The input data in real problems are usually not exact and can be characterized by interval values.

Optimization for Decision Making II.

Víctor Yepes,José Moreno-Jiménez
Optimization for Decision Making II Book PDF

Author : Víctor Yepes,José Moreno-Jiménez
Publisher : Unknown
Page : 302 pages
File Size : 44,7 Mb
Release : 2020
Category : Electronic
ISBN : 3039436082

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Optimization for Decision Making II. by Víctor Yepes,José Moreno-Jiménez Pdf

In the current context of the electronic governance of society, both administrations and citizens are demanding the greater participation of all the actors involved in the decision-making process relative to the governance of society. This book presents collective works published in the recent Special Issue (SI) entitled “Optimization for Decision Making II”. These works give an appropriate response to the new challenges raised, the decision-making process can be done by applying different methods and tools, as well as using different objectives. In real-life problems, the formulation of decision-making problems and the application of optimization techniques to support decisions are particularly complex and a wide range of optimization techniques and methodologies are used to minimize risks, improve quality in making decisions or, in general, to solve problems. In addition, a sensitivity or robustness analysis should be done to validate/analyze the influence of uncertainty regarding decision-making. This book brings together a collection of inter-/multi-disciplinary works applied to the optimization of decision making in a coherent manner.

Advanced Optimization and Decision-Making Techniques in Textile Manufacturing

Anindya Ghosh,Prithwiraj Mal,Abhijit Majumdar
Advanced Optimization and Decision Making Techniques in Textile Manufacturing Book PDF

Author : Anindya Ghosh,Prithwiraj Mal,Abhijit Majumdar
Publisher : CRC Press
Page : 302 pages
File Size : 44,9 Mb
Release : 2019-03-18
Category : Technology & Engineering
ISBN : 9780429996832

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Advanced Optimization and Decision-Making Techniques in Textile Manufacturing by Anindya Ghosh,Prithwiraj Mal,Abhijit Majumdar Pdf

Optimization and decision making are integral parts of any manufacturing process and management system. The objective of this book is to demonstrate the confluence of theory and applications of various types of multi-criteria decision making and optimization techniques with reference to textile manufacturing and management. Divided into twelve chapters, it discusses various multi-criteria decision-making methods such as AHP, TOPSIS, ELECTRE, and optimization techniques like linear programming, fuzzy linear programming, quadratic programming, in textile domain. Multi-objective optimization problems have been dealt with two approaches, namely desirability function and evolutionary algorithm. Key Features Exclusive title covering textiles and soft computing fields including optimization and decision making Discusses concepts of traditional and non-traditional optimization methods with textile examples Explores pertinent single-objective and multi-objective optimizations Provides MATLAB coding in the Appendix to solve various types of multi-criteria decision making and optimization problems Includes examples and case studies related to textile engineering and management

Introduction to Optimization-Based Decision-Making

João Luis de Miranda
Introduction to Optimization Based Decision Making Book PDF

Author : João Luis de Miranda
Publisher : Chapman & Hall/CRC
Page : 241 pages
File Size : 55,9 Mb
Release : 2021-12-19
Category : Business & Economics
ISBN : 1351778714

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Introduction to Optimization-Based Decision-Making by João Luis de Miranda Pdf

The large and complex challenges the world is facing, the growing prevalence of huge data sets, and the new and developing ways for addressing them (artificial intelligence, data science, machine learning, etc.), means it is increasingly vital that academics and professionals from across disciplines have a basic understanding of the mathematical underpinnings of effective, optimized decision-making. Without it, decision makers risk being overtaken by those who better understand the models and methods, that can best inform strategic and tactical decisions. Introduction to Optimization-Based Decision-Making provides an elementary and self-contained introduction to the basic concepts involved in making decisions in an optimization-based environment. The mathematical level of the text is directed to the post-secondary reader, or university students in the initial years. The prerequisites are therefore minimal, and necessary mathematical tools are provided as needed. This lean approach is complemented with a problem-based orientation and a methodology of generalization/reduction. In this way, the book can be useful for students from STEM fields, economics and enterprise sciences, social sciences and humanities, as well as for the general reader interested in multi/trans-disciplinary approaches. Features Collects and discusses the ideas underpinning decision-making through optimization tools in a simple and straightforward manner Suitable for an undergraduate course in optimization-based decision-making, or as a supplementary resource for courses in operations research and management science Self-contained coverage of traditional and more modern optimization models, while not requiring a previous background in decision theory

Anticipatory Optimization for Dynamic Decision Making

Stephan Meisel
Anticipatory Optimization for Dynamic Decision Making Book PDF

Author : Stephan Meisel
Publisher : Springer Science & Business Media
Page : 182 pages
File Size : 47,7 Mb
Release : 2011-06-23
Category : Business & Economics
ISBN : 9781461405054

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Anticipatory Optimization for Dynamic Decision Making by Stephan Meisel Pdf

The availability of today’s online information systems rapidly increases the relevance of dynamic decision making within a large number of operational contexts. Whenever a sequence of interdependent decisions occurs, making a single decision raises the need for anticipation of its future impact on the entire decision process. Anticipatory support is needed for a broad variety of dynamic and stochastic decision problems from different operational contexts such as finance, energy management, manufacturing and transportation. Example problems include asset allocation, feed-in of electricity produced by wind power as well as scheduling and routing. All these problems entail a sequence of decisions contributing to an overall goal and taking place in the course of a certain period of time. Each of the decisions is derived by solution of an optimization problem. As a consequence a stochastic and dynamic decision problem resolves into a series of optimization problems to be formulated and solved by anticipation of the remaining decision process. However, actually solving a dynamic decision problem by means of approximate dynamic programming still is a major scientific challenge. Most of the work done so far is devoted to problems allowing for formulation of the underlying optimization problems as linear programs. Problem domains like scheduling and routing, where linear programming typically does not produce a significant benefit for problem solving, have not been considered so far. Therefore, the industry demand for dynamic scheduling and routing is still predominantly satisfied by purely heuristic approaches to anticipatory decision making. Although this may work well for certain dynamic decision problems, these approaches lack transferability of findings to other, related problems. This book has serves two major purposes: ‐ It provides a comprehensive and unique view of anticipatory optimization for dynamic decision making. It fully integrates Markov decision processes, dynamic programming, data mining and optimization and introduces a new perspective on approximate dynamic programming. Moreover, the book identifies different degrees of anticipation, enabling an assessment of specific approaches to dynamic decision making. ‐ It shows for the first time how to successfully solve a dynamic vehicle routing problem by approximate dynamic programming. It elaborates on every building block required for this kind of approach to dynamic vehicle routing. Thereby the book has a pioneering character and is intended to provide a footing for the dynamic vehicle routing community.

Business Intelligence

Carlo Vercellis
Business Intelligence Book PDF

Author : Carlo Vercellis
Publisher : John Wiley & Sons
Page : 314 pages
File Size : 47,6 Mb
Release : 2011-08-10
Category : Mathematics
ISBN : 9781119965473

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Business Intelligence by Carlo Vercellis Pdf

Business intelligence is a broad category of applications and technologies for gathering, providing access to, and analyzing data for the purpose of helping enterprise users make better business decisions. The term implies having a comprehensive knowledge of all factors that affect a business, such as customers, competitors, business partners, economic environment, and internal operations, therefore enabling optimal decisions to be made. Business Intelligence provides readers with an introduction and practical guide to the mathematical models and analysis methodologies vital to business intelligence. This book: Combines detailed coverage with a practical guide to the mathematical models and analysis methodologies of business intelligence. Covers all the hot topics such as data warehousing, data mining and its applications, machine learning, classification, supply optimization models, decision support systems, and analytical methods for performance evaluation. Is made accessible to readers through the careful definition and introduction of each concept, followed by the extensive use of examples and numerous real-life case studies. Explains how to utilise mathematical models and analysis models to make effective and good quality business decisions. This book is aimed at postgraduate students following data analysis and data mining courses. Researchers looking for a systematic and broad coverage of topics in operations research and mathematical models for decision-making will find this an invaluable guide.

Combinatorial Optimization Problems in Planning and Decision Making

Michael Z. Zgurovsky,Alexander A. Pavlov
Combinatorial Optimization Problems in Planning and Decision Making Book PDF

Author : Michael Z. Zgurovsky,Alexander A. Pavlov
Publisher : Springer
Page : 518 pages
File Size : 48,8 Mb
Release : 2018-09-24
Category : Technology & Engineering
ISBN : 9783319989778

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Combinatorial Optimization Problems in Planning and Decision Making by Michael Z. Zgurovsky,Alexander A. Pavlov Pdf

The book focuses on the next fields of computer science: combinatorial optimization, scheduling theory, decision theory, and computer-aided production management systems. It also offers a quick introduction into the theory of PSC-algorithms, which are a new class of efficient methods for intractable problems of combinatorial optimization. A PSC-algorithm is an algorithm which includes: sufficient conditions of a feasible solution optimality for which their checking can be implemented only at the stage of a feasible solution construction, and this construction is carried out by a polynomial algorithm (the first polynomial component of the PSC-algorithm); an approximation algorithm with polynomial complexity (the second polynomial component of the PSC-algorithm); also, for NP-hard combinatorial optimization problems, an exact subalgorithm if sufficient conditions were found, fulfilment of which during the algorithm execution turns it into a polynomial complexity algorithm. Practitioners and software developers will find the book useful for implementing advanced methods of production organization in the fields of planning (including operative planning) and decision making. Scientists, graduate and master students, or system engineers who are interested in problems of combinatorial optimization, decision making with poorly formalized overall goals, or a multiple regression construction will benefit from this book.

Optimization Theory, Decision Making, and Operations Research Applications

Athanasios Migdalas,Angelo Sifaleras,Christos K Georgiadis,Jason Papathanasiou,Emmanouil Stiakakis
Optimization Theory Decision Making and Operations Research Applications Book PDF

Author : Athanasios Migdalas,Angelo Sifaleras,Christos K Georgiadis,Jason Papathanasiou,Emmanouil Stiakakis
Publisher : Springer Science & Business Media
Page : 364 pages
File Size : 53,9 Mb
Release : 2012-11-28
Category : Mathematics
ISBN : 9781461451341

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Optimization Theory, Decision Making, and Operations Research Applications by Athanasios Migdalas,Angelo Sifaleras,Christos K Georgiadis,Jason Papathanasiou,Emmanouil Stiakakis Pdf

These proceedings consist of 30 selected research papers based on results presented at the 10th Balkan Conference & 1st International Symposium on Operational Research (BALCOR 2011) held in Thessaloniki, Greece, September 22-24, 2011. BALCOR is an established biennial conference attended by a large number of faculty, researchers and students from the Balkan countries but also from other European and Mediterranean countries as well. Over the past decade, the BALCOR conference has facilitated the exchange of scientific and technical information on the subject of Operations Research and related fields such as Mathematical Programming, Game Theory, Multiple Criteria Decision Analysis, Information Systems, Data Mining and more, in order to promote international scientific cooperation. The carefully selected and refereed papers present important recent developments and modern applications and will serve as excellent reference for students, researchers and practitioners in these disciplines. ​

Handbook Of Machine Learning - Volume 2: Optimization And Decision Making

Tshilidzi Marwala,Collins Achepsah Leke
Handbook Of Machine Learning Volume 2 Optimization And Decision Making Book PDF

Author : Tshilidzi Marwala,Collins Achepsah Leke
Publisher : World Scientific
Page : 321 pages
File Size : 44,5 Mb
Release : 2019-11-21
Category : Computers
ISBN : 9789811205682

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Handbook Of Machine Learning - Volume 2: Optimization And Decision Making by Tshilidzi Marwala,Collins Achepsah Leke Pdf

Building on , this volume on Optimization and Decision Making covers a range of algorithms and their applications. Like the first volume, it provides a starting point for machine learning enthusiasts as a comprehensive guide on classical optimization methods. It also provides an in-depth overview on how artificial intelligence can be used to define, disprove or validate economic modeling and decision making concepts.

Multicriteria Optimization

Matthias Ehrgott
Multicriteria Optimization Book PDF

Author : Matthias Ehrgott
Publisher : Springer Science & Business Media
Page : 329 pages
File Size : 51,6 Mb
Release : 2006-01-16
Category : Business & Economics
ISBN : 9783540276593

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Multicriteria Optimization by Matthias Ehrgott Pdf

- Collection of results of multicriteria optimization, including nonlinear, linear and combinatorial optimization problems - Includes numerous illustrations, examples and problems

Decision Making and Optimization

Martin Gavalec,Jaroslav Ramík,Karel Zimmermann
Decision Making and Optimization Book PDF

Author : Martin Gavalec,Jaroslav Ramík,Karel Zimmermann
Publisher : Springer
Page : 225 pages
File Size : 44,9 Mb
Release : 2014-10-11
Category : Business & Economics
ISBN : 3319083244

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Decision Making and Optimization by Martin Gavalec,Jaroslav Ramík,Karel Zimmermann Pdf

The book is a benefit for graduate and postgraduate students in the areas of operations research, decision theory, optimization theory, linear algebra, interval analysis and fuzzy sets. The book will also be useful for the researchers in the respective areas. The first part of the book deals with decision making problems and procedures that have been established to combine opinions about alternatives related to different points of view. Procedures based on pairwise comparisons are thoroughly investigated. In the second part we investigate optimization problems where objective functions and constraints are characterized by extremal operators such as maximum, minimum or various triangular norms (t-norms). Matrices in max-min algebra are useful in applications such as automata theory, design of switching circuits, logic of binary relations, medical diagnosis, Markov chains, social choice, models of organizations, information systems, political systems and clustering. The input data in real problems are usually not exact and can be characterized by interval values.