Decisions and Elections Explaining the Unexpected

By Donald G. Saari


It is not uncommon to be frustrated by the outcome of an election or a decision on voting, law, economics, engineering and other fields. Does this "bad" result reflect poor data or poorly informed voters? Or does the disturbing conclusion reflect the choice of the decision/election procedure? Nobel Laureate Kenneth Arrow's famed theorem has been interpreted to mean "no decision procedure is without flaws." Similarly, Nobel Laureate Amartya Sen dashes hope for unconstrained individual liberties by showing their incompatibility with societal needs. This book offers a new, different interpretation and resolution of Arrow's and Sen's theorems. Using simple mathematics, it shows that these negative conclusions arise because, in each case, some of their assumptions negate other crucial assumptions. Once this is understood, not only do the conclusions become expected, but a wide class of other phenomena can also be anticipated. These include legislative cycles, supply and demand economics, statistical paradoxes and diverse voting/election paradoxes.

Published by Cambridge University Press.

Evolutionary Optimization (International Series in Operations Research and Management Science)


Edited by Ruhul Sarker, Masoud Mohammadian, Xin Yao

The use of evolutionary computation techniques has grown considerably over the past several years. Over this time, the use and applications of these techniques have been further enhanced resulting in a set of computational intelligence (also known as modern heuristics) tools that are particularly adept for solving complex optimization problems. Moreover, they are characteristically more robust than traditional methods based on formal logics or mathematical programming for many real world OR/MS problems. Hence, evolutionary computation techniques have dealt with complex optimization problems better than traditional optimization techniques although they can be applied to easy and simple problems where conventional techniques work well. Clearly there is a need for a volume that both reviews state-of-the-art evolutionary computation techniques, and surveys the most recent developments in their use for solving complex OR/MS problems. This volume on Evolutionary Optimization seeks to fill this need. "Evolutionary Optimization" is a volume of invited papers written by leading researchers in the field. The book covers the foundation as well as the practical side of evolutionary optimization.

Published by Kluwer Academic Publishers.

Decision and Control in Management Science: Essays in Honor of Alan Sic Haurie (Advances in Computational Management Science, V. 4)


Edited by A. Haurie, Georges Zaccour

"Decision & Control in Management Science" analyzes emerging decision problems in the management and engineering sciences. The first part explores methodological issues involved in the optimization of deterministic and stochastic dynamical systems. The second part describes approaches to the model energy and environmental systems and draws policy implications related to the mitigation of pollutants. The third part applies quantitative techniques to problems in finance and economics, such as hedging of options, inflation targeting and equilibrium asset pricing. The fourth part considers a series of problems in production systems. Optimization methods are put forward to provide optimal policies in areas such as inventory management, transfer-line, flow-shop and other industrial problems. The last part covers game theory. Chapters range from theoretical issues to applications in politics and interactions in franchising systems.

Published by Kluwer Academic Publishers.

Modelling Complex Projects


By Terry Williams

It is widely acknowledged that traditional project management techniques are no longer sufficient, as projects become more complex and client's demand reduced timescales. Problems that arise include inadequate planning and risk analysis, ineffective project monitoring and control, and uninformed post-mortem analysis. Effective modeling techniques, which capture the complexities of such projects, are therefore necessary for adequate project management. This book looks at those issues, describes some modeling techniques, and then discusses their merits and possible synthesis.

Published by John Wiley & Sons.

An Introduction to Queueing Systems (Kluwer Academic/Plenum Publishers Network and Systems Management)


By Sanjay K. Bose

This volume accomplishes the unique task of providing the reader with the analytical fundamentals for both single queues and queueing networks while keeping the description simple enough so that the results may be directly used for modeling and analysis. A wide range of single-queue models has been covered, while networks are analyzed through a very comprehensive set of approximation algorithms ready to apply in modeling. The text was honed through years of research and teaching, and is a useful tool for engineers and students who wish to apply queueing methods to study the performance of systems.

Published by Plenum Publishers.

Stochastic-Process Limits


By Ward Whitt

This book provides an introduction to heavy-traffic stochastic-process limits for queues, with special emphasis on nonstandard scaling and nonstandard limit processes. In addition to limit processes related to Brownian motion, the book discusses limit processes related to stable Levy motion and fractional Brownian motion, which appear with heavy-tailed probability distributions and strong dependence.

The first four chapters present an informal introduction to stochastic-process limits. These chapters convey the unifying power of stochastic-process limits without sinking into the mathematical details. Simulation is used to help build intuition. Throughout, the book emphasizes the applied significance as well as the underlying mathematics.

Published by Springer Verlag.