Cutting Plane and Primal-Dual Approaches to Convex (Nonlinear) Mixed-Integer Optimization

Abstract

The project will develop state-of-the-art algorithms for optimization with general convex constraints, and structured non convex constraints like integrality constraints on all or a subset of the decision variables. A significant effort will be made to develop and utilize duality theory for this purpose. The algorithms will be applicable in diverse application areas with complex non linear effects, such as computational game theory applied to national security and defense, chemical engineering, drinking-water distribution, stochastic programming for healthcare, amongst many others.

Document Details

Document Type
DoD Grant Award
Publication Date
Jan 23, 2018
Source ID
N000141812096

Entities

People

  • Amitabh Basu

Organizations

  • Johns Hopkins University
  • Office of Naval Research
  • United States Navy

Tags

Readers

  • Defense Technology Research and Development.
  • Operations Research