Optimization

Ronnie Ben Tal and R. Ravi

Since the early days of OR, optimization has been one of the foundations of this discipline. Over the years, optimization models and methods have grown in their ability to model and solve a wide variety of problems. Operations Research is committed to this continuing growth and will publish significant contributions in the development of new optimization models and methodology.

We invite papers on all aspects of optimization. This includes the standard topics of combinatorial, linear, nonlinear, integer and stochastic optimization, equilibrium, and game theory, that involve the development of new conceptual models or new theoretical or computational methodologies arising from applications. We particularly encourage new models and methodologies arising from the interface with closely related fields such as computer science, economics, operations management, and Internet-related network studies. The Optimization area will also consider papers that bridge multiple areas within Operations Research, provided that the main contribution of the paper is to new conceptual models or methodology in optimization. When considering papers that bridge multiple areas, our focus will be on those papers that bring conceptual ideas from other areas to an optimization framework, rather than modeling problems in application areas as variants of standard optimization models.

In preparing a paper for submission to the Optimization area, authors are encouraged to summarize the main results in a manner that is accessible to a broad OR audience. Papers presenting optimization methodology must clearly distinguish the new contributions and outline areas where these contributions may be most valuable. Papers dealing primarily with new models should delineate the conceptual novelty and advantage of the model and its appropriateness for the application. Whenever empirical results are presented, enough information should be provided so the reader could replicate each experiment. In some instances, it may be appropriate to refer the reader to electronic source(s) of problems used in the experiment.

Associate Editors: Shabbir Ahmed, Alper Atamturk, Amir Beck, Sam Burer, Alberto Caprara, Jose Correa, Jerzy Filar, Oktay Gunluk, Nicholas Hall, Dick den Hertog, Daniel Kuhn, Adam Letchford, Jeffrey Linderoth, Vadim Linetsky, Tom McCormick, Georg Ch. Pflug, John Ruggiero, Jay Sethuraman, Melvyn Sim, J. Cole Smith, Wenan Zang, Jiawei Zhang, and Shuzhong Zhang