In the past decade there have been significant theoretical and computational advances in the field of integer programming. As a result there has been a greatly increased use of integer programming software in industry. However, the need to solve even larger and more complex problems continues to grow. In this workshop, we will bring together experts in various areas of integer programming and its applications. Theoretical and methodological topics included in the workshop are approximation algorithms for large scale linear programs, stochastic integer programming, branch-and-cut and branch-and-price, algebraic and combinatorial methods, decomposition, constraint programming and parallel implementation. Application areas include supply chain design and management, telecommunications, manufacturing, transportation, scheduling, and finance. The workshop will be of interest to mathematicians and operations researchers working in discrete and combinatorial optimization, computational scientists working in parallel computing, search, and constraint programming. Goals of the workshop include building a research agenda for the next decade, defining new areas of application, and stimulating cooperation among the different disciplines that contribute to the field.

WORKSHOP SCHEDULE

LIST OF CONFIRMED PARTICIPANTS