Computing Tools for Modeling, Optimization and Simulation reflects the
need for preserving the marriage between operations research and
computing in order to create more efficient and powerful software tools
in the years ahead. The 17 papers included in this volume were carefully
selected to cover a wide range of topics related to the interface
between operations research and computer science. The volume includes
the now perennial applications of rnetaheuristics (such as genetic
algorithms, scatter search, and tabu search) as well as research on
global optimization, knowledge management, software rnaintainability and
object-oriented modeling. These topics reflect the complexity and
variety of the problems that current and future software tools must be
capable of tackling. The OR/CS interface is frequently at the core of
successful applications and the development of new methodologies, making
the research in this book a relevant reference in the future.
The editors' goal for this book has been to increase the interest in the
interface of computer science and operations research. Both researchers
and practitioners will benefit from this book. The tutorial papers may
spark the interest of practitioners for developing and applying new
techniques to complex problems. In addition, the book includes papers
that explore new angles of well-established methods for problems in the
area of nonlinear optimization and mixed integer programming, which
seasoned researchers in these fields may find fascinating.