Compiled by
Emma Hunt
Optimization and Industry: New Frontiers
Edited by
Panos M. Pardalos Dept. of Industrial and Systems Engineering, University
of Florida, Gainesville, USA
Victor Korotkikh Central Queensland University, Mackay, Australia
Book Series: Applied Optimization (Volume 78)
At the beginning of the new millennium, optimization is undergoing a major
transformation in scope and dimension. It is evolving in response to challenges
and opportunities from industry. From a largely dominant focus on specific
problems, optimization is rapidly expanding to provide all the ingredients
for a surge of a much broader development of technological, business and financial
innovations.
The chapters in the book give information about the latest advances of optimization
in telecommunications, supply chain management, auto manufacturing, aerospace
engineering, power industry, air traffic management, complexity and others.
The book provides a unique opportunity for researchers in optimization and
leaders of industry to understand the significance of the changes by presenting
the field's accomplishments, new developments and future directions.
Audience: The book is written at a level suitable for advanced undergraduate
students, graduate students as well as research workers and practitioners
in computer science, information technology, mathematics, management science
and business. The book is quite suitable as a reference or as supplementary
reading material for an advanced graduate course.
Kluwer Academic Publishers, Dordrecht
Hardbound, ISBN 1-4020-1187-3
March 2003, 352 pages
EUR 189.00 / US $185.00 / GB £119.00
http://www.wkap.nl/prod/b/1-4020-1187-3
Introduction to the Theory of Cooperative
Games
By
Bezalel Peleg Institute of Mathematics and Center for Rationality and Interactive
Decision Theory, The Hebrew University of Jerusalem, Israel
Peter Sudhölter Dept. of Economics, University of Southern Denmark,
Odense, Denmark
Book Series: Theory and Decision Library C: Game Theory, Mathematical Programming
and Operations Research (Volume 34)
Introduction to the Theory of Cooperative Games systematically studies the
main solutions of cooperative games: the core, bargaining set, kernel, nucleolus,
and the Shapley value of TU games, and the core, the Shapley value, and the
ordinal bargaining set of NTU games. To each solution a separate chapter is
devoted, in which its properties are investigated in full detail. Moreover,
important variants are defined or even intensively analyzed. Separate chapters
cover continuity, dynamics, and geometric properties of solutions of TU games.
This study culminates in uniform and coherent axiomatizations of all the foregoing
solutions (excluding the bargaining set). Except for the Shapley value such
axiomatizations have not appeared in any book. Moreover, Introduction to
the Theory of Cooperative Games contains a detailed analysis of the main results
on cooperative games without side payments. Such analysis is very limited
or non-existent in the existing literature on game theory.
This book is of interest to Game Theorists, Economists, Mathematicians and
Researchers in Operations Research, Political Science and Social Science.
Kluwer Academic Publishers, Boston
Hardbound, ISBN 1-4020-7410-7 June 2003, 388 pages EUR 129.00 / US
$126.00 / GB £
84.00
http://www.wkap.nl/prod/b/1-4020-7410-7
Optimization Principles: Practical Applications
to the Operation and Markets of the Electric Power Industry
By
Narayan S. Rau
New England Power Pool, Holyoke, MA
With the advent of deregulation of the electric power industry, understanding
optimal power flow, locational marginal prices, and the auction of hedging
instruments is an absolute necessity. Optimization Principles provides readers
with a complete education of the practical applications of algorithms using
Microsoft Excel solver. The book is designed to allow readers to first study
and understand practical applications, and then go back and review the chapters
covering substantial theoretical background.
Wiley-IEEE Press Hardcover, ISBN: 0-471-45130-4 August 2003, 352 pages US
$79.95
http://www.wiley.com/WileyCDA/WileyTitle/productCd-0471451304.html
Genetic Algorithms - Principles and Perspectives:
A Guide to GA Theory
By
Colin R. Reeves School of Math and IS, Coventry University, UK
Jonathan E. Rowe School of Computer Science, University of Birmingham, UK
Book Series: Operations Research /Computer Science Interfaces (Volume 20)
Genetic Algorithms (GAs) have become a highly effective tool for solving
hard optimization problems. As their popularity has increased, the number
of GA applications has grown in more than equal measure. Genetic Algorithm
theory, however, has not kept pace with the growing use and application of
GAs. Most book-length treatments of GAs provide only a cursory discussion
of theory and this discussion primarily focuses on the traditional view, which
depends heavily on the concept of a "schema".
Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory is
a survey of some important theoretical contributions, many of which have been
proposed and developed in the Foundations of Genetic Algorithms series of
workshops. However, this theoretical work is still rather fragmented, and
the authors believe that it is the right time to provide the field with a
systematic presentation of the current state of theory in the form of a set
of theoretical perspectives. The authors do this in the interest of providing
students and researchers with a balanced foundational survey of some recent
research on GAs. The scope of the book includes chapter-length discussions
of Basic Principles, Schema Theory, "No Free Lunch", GAs and Markov Processes,
Dynamical Systems Model, Statistical Mechanics Approximations, Predicting
GA Performance, Landscapes and Test Problems.
The authors have worked hard to make the book as accessible as possible
for students and researchers. An undergraduate-level mathematical understanding
of linear algebra and stochastic processes is assumed. For those readers who
have not encountered GAs before, a comprehensive survey of GA concepts is
provided and the variety of ways in which GAs can be implemented is outlined.
Exercises are provided at the ends of the chapters with the express purpose
of aiding understanding of the concepts discussed and to whet the reader's
appetite for pursuing theoretical research in GAs.
Kluwer Academic Publishers, Boston Hardbound, ISBN 1-4020-7240-6 December
2002, 344 pages EUR 127.00 / US $120.00 / GB £80.00
http://www.wkap.nl/prod/b/1-4020-7240-6
Stochastic Programming
Edited by
A. Ruszczynski
Department of Management Science and Information Systems, Rutgers University,
Piscataway, NJ, USA
A. Shapiro
School of Industrial and Systems Engineering, Georgia Institute of Technology,
Atlanta, GA, USA
Book Series: Handbooks in Operations Research and Management Science
(Volume 10)
The area of stochastic programming was created in the middle of the last
century, following fundamental achievements in linear and nonlinear programming.
However, because of the inherent difficulty of stochastic optimisation problems,
it took a long time until efficient solution methods were developed. In the
last two decades a dramatic change in our abilities to solve stochastic programming
problems took place. It is partially due to the progress in large scale linear
and nonlinear programming, in nonsmooth optimization and integer programming,
but mainly it follows the development of techniques exploiting specific properties
of stochastic programming problems. Computational advances are also due to
modern parallel processing technology. Nowadays we can solve stochastic optimisation
problems involving tens of millions of variables and constraints.
This Handbook Volume brings together leading experts in the most important
sub-fields of stochastic programming to present a rigorous overview of basic
models, methods and applications of stochastic programming. The work is intended
for researchers, students, engineers and economists, who encounter in their
work optimisation problems involving uncertainty.
North-Holland Publishers
Hardbound, ISBN: 0-444-50854-6
In preparation (due for release in 2003), approx. 650 pages
http://www.elsevier.nl/inca/publications/store/6/2/2/2/4/8/index.htt
Introduction to Stochastic Search and Optimization:
Estimation, Simulation, and Control
By
James C. Spall
Johns Hopkins University
This book is unique in its survey of the range of topics, contains a strong,
interdisciplinary format that will appeal to both students and researchers
and features exercises and web links to software and data sets.
John Wiley & Sons Publishers
Hardcover, ISBN: 0-471-33052-3 April 2003, 618 pages USD $94.95
http://www.wiley.com/WileyCDA/WileyTitle/productCd-0471330523,descCd-description.html
Game Theory and Economic Analysis: A
Quiet Revolution in Economics
Edited by
Christian Schmidt
Université de Paris IX-Dauphine
Series: Routledge Advances in Game Theory
This book presents the huge variety of current contributions of game theory
to economics. The impressive contributions fall broadly into two categories.
Some lay out in a jargon free manner a particular branch of the theory, the
evolution of one of its concepts, or a problem, that runs through its development.
Others are original pieces of work that are significant to game theory as
a whole.
After taking the reader through a concise history of game theory, the contributions
include such themes as:
• the connections between Von Neumann's mathematical game
theory and the domain assigned to him today
• the strategic use of information by game players
*the problem of the coordination of strategic choices between independent
players
• cooperative games and their place within the literature
of games plus new developments in non-cooperative games
• possible applications for game theory in industrial
and financial economics differential qualitative games and entry dissuasion.
Routledge
Hardcover, ISBN 0415259878
September 2002, 208 pages GBP £65.00
https://ecommerce.tandf.co.uk/catalogue/DetailedDisplay.asp?ISBN=0415259878
Satisficing Games and Decision Making:
With Applications to Engineering and Computer Science
By
Wynn Stirling
Department of Electrical and Computer Engineering, Brigham Young University
In our day-to-day lives we constantly make decisions which are simply ‘good
enough’ rather than optimal. Most computer-based decision making algorithms,
on the other hand, doggedly seek only the optimal solution based on rigid
criteria and reject any others. In this book, Professor Stirling outlines
an alternative approach, using novel algorithms and techniques which can be
used to find satisficing solutions. Building on traditional decision and game
theory, these techniques allow decision-making systems to cope with more
subtle situations where self and group interests conflict, perfect solutions
can’t be found and human issues need to be taken into account - in short,
more closely modelling the way humans make decisions. The book will therefore
be of great interest to engineers, computer scientists and mathematicians
working on artificial intelligence and expert systems.
Cambridge University Press
Hardback, ISBN: 0521817242
July 2003, 262 pages GBP £55.00
http://books.cambridge.org/0521817242.htm
Small Worlds: The Dynamics of Networks
between Order and Randomness
By
Duncan J. Watts
Santa Fe Institute
Everyone knows the small-world phenomenon: soon after meeting a stranger,
we are surprised to discover that we have a mutual friend, or we are connected
through a short chain of acquaintances. In his book, Duncan Watts uses this
intriguing phenomenon--colloquially called "six degrees of separation"--as
a prelude to a more general exploration: under what conditions can a small
world arise in any kind of network?
The networks of this story are everywhere: the brain is a network of neurons;
organisations are people networks; the global economy is a network of national
economies, which are networks of markets, which are in turn networks of interacting
producers and consumers. Food webs, ecosystems, and the Internet can all be
represented as networks, as can strategies for solving a problem, topics in
a conversation, and even words in a language. Many of these networks, the
author claims, will turn out to be small worlds.
How do such networks matter? Simply put, local actions can have global consequences,
and the relationship between local and global dynamics depends critically
on the network's structure. Watts illustrates the subtleties of this relationship
using a variety of simple models---the spread of infectious disease through
a structured population; the evolution of cooperation in game theory; the
computational capacity of cellular automata; and the sychronisation of coupled
phase-oscillators.
Watts's novel approach is relevant to many problems that deal with network
connectivity and complex systems' behaviour in general: How do diseases (or
rumours) spread through social networks? How does cooperation evolve in large
groups? How do cascading failures propagate through large power grids, or
financial systems? What is the most efficient architecture for an organisation,
or for a communications network? This fascinating exploration will be fruitful
in a remarkable variety of fields, including physics and mathematics, as well
as sociology, economics, and biology.
Princeton University Press
Paperback, ISBN: 0-691-11704-7 January 2004, 264 pages US $24.95 / GB £16.95
http://pup.princeton.edu/titles/6768.html
Network Interdiction and Stochastic Integer
Programming
Edited by
David L. Woodruff Graduate School of Management, University of California
at Davis, USA
Kluwer Book Series: Operations Research /Computer Science Interfaces (Volume
22)
The Network Interdiction Problem has a wide variety of applications in areas
such as transportation, but more recently and very prominently, it has applications
in the communications area. Network Interdiction and Stochastic Integer Programming
focuses on problems associated with protecting and attacking computer, transportation,
and social networks. These research areas gain importance as the world becomes
more dependent on interconnected systems. Optimization models that address
the stochastic nature of the problems are an important part of the book and
it contains discussion of recent efforts to provide methods for addressing
stochastic mixed integer programs.
The book is organized with interdiction papers first and the stochastic
programming papers in the second part. See the foreword by Roger Wets for
further details on the topical coverage. Each chapter represents state-of-the-art
research and all chapters have been carefully peer-reviewed.
Kluwer Academic Publishers, Boston Hardbound, ISBN 1-4020-7302-X November
2002, 144 pages EUR 100.00 / US $95.00 / GB £64.00
http://www.wkap.nl/prod/b/1-4020-7302-X
