New Books
Modeling, Control and Optimization of Complex Systems
Edited by Weibo Gong and Leyuan Shi
"Modeling, Control and Optimization of Complex Systems" is a collection of contributions from leading international researchers in the fields of dynamic systems, control theory and modeling. These papers were presented at the Symposium on Modeling and Optimization of Complex Systems in honor of Larry Yu-Chi Ho in June 2001. They include research topics such as: modeling of complex systems, power control in ad hoc wireless networks, adaptive control using multiple models, Markov decision processes and reinforcement learning, optimal control for discrete event and hybrid systems, optimal representation and visualization of multivariate data and functions in low-dimensional spaces.
Published by Kluwer Academic Publishers.
Models & Methods for Project Selection:
Concepts from Management Science, Finance and Information Technology
By Samuel B. Graves and Jeffrey L. Ringuest
"Models & Methods for Project Selection" systematically examines the latest work in the field of project selection modeling. The models presented are drawn from mathematical programming, decision theory and finance. These models are examined in two categorical streams: the management science stream and the financial model stream. The book describes the assumptions and limitations of each model and provides appropriate solution methodologies.
Chapters 1-3 investigate the effect of the choice of optimization criteria on the results of the portfolio optimization problem. This group of chapters examines the multiobjective linear programming approach, discusses the appropriate methods for adjusting for time and risk in the project selection problem, and expands on the discussion of optimization models and NPV.Risk and Uncertainty.
Chapters 4-7 deal with uncertainty in the project selection problem. The models developed in this section are based on probability distribution assumptions or estimates and deal with uncertainty in some aspect of the project selection model.
Chapters 8-10 present solution methodologies used to solve most general project selection models.
Published by Kluwer Academic Publishers.
Multiple Criteria Optimization: State of the Art Annotated Bibliographic Surveys
By Matthias Ehrgott
Edited by Xavier Gandibleux
The roots of multiple criteria decision-making and multiple criteria optimization were laid by Pareto at the end of the 19th century, and since then the discipline has prospered and grown, especially during the last three decades. Today, many decision-support systems incorporate methods to deal with conflicting objectives. The foundation for such systems is a mathematical theory of optimization under multiple objectives.
Since its beginnings, there have been a vast number of books, journal issues, papers and conferences that have brought the field to its present state. Despite this vast body of literature, there is no reliable guide to provide an access to this knowledge. Over the years, many literature surveys and bibliographies have been published. With the ever rapidly increasing rate of publications in the area and the development of subfields, these were mostly devoted to particular aspects of multicriteria optimization. Hence the need for a comprehensive overview of the literature in multicriteria optimization that could serve as a state of the art survey and guide to the vast amount of publications.
Experts in various areas of multicriteria optimization have contributed to the volume. The chapters in this book roughly follow a thread from most general to more specific. Some of them are about particular types of problems (theory of vector optimization, nonlinear multiobjective programming, fuzzy multiobjective programming, multiobjective combinatorial optimization, multicriteria scheduling problems), while the others are focused on multiobjective methodologies (goal programming, interactive methods, evolutionary algorithms, data envelopment analysis).
Published by Kluwer Academic Publishers.
Operations Research Models and Methods
By Paul A. Jensen and Jonathan F. Bard
The field of operations research comprises a rich collection of analytic techniques that have been developed over the last 50 years to solve complex problems arising in all aspects of human activity. This book is designed to bridge the gap between theory and practice by presenting the quantitative tools most suited for computer-based problem solving. A principal goal of the authors is to give analysts, engineers and decision-makers a better appreciation of operations research by defining a common terminology and by explaining the interfaces between the basic methodologies. A second goal is to compress and streamline the vast amount of material that constitutes OR without sacrificing substance.
The presentation focuses on the relationships that exist among modeling, analysis, computations, algorithmic implementation and decision-making. Most topics are covered in two chapters, one for models and the other for methods. This allows the instructor to tailor the material to the aims of the class. If one wishes to emphasize applications rather than algorithms, the methods chapters can either be skipped or selectively assigned. In addition, a wide variety of supplementary materials is contained on the CD packaged with the book.
Every method described in the text is supported by an Excel add-in written by the authors that can be used to solve the exercises in the chapters, as well as many problems of practical size. Premium Solver for Education, the MPL Modeling System and the Extend Simulation System are also included. The authors' Web site www.ormm.net mirrors all of the material on the CD, and more.
Published by John Wiley & Sons
OR/MS Today copyright © 2002 by the Institute for Operations Research and the Management Sciences. All rights reserved.
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