12 papers
Axis-Aligned Relaxations for Mixed-Integer Nonlinear Programming
Haisheng Zhu, Taotao He, Mohit Tawarmalani
We present a novel relaxation framework for general mixed-integer nonlinear programming (MINLP) grounded in computational geometry. Our approach constructs polyhedral relaxations b…
Minimizing risk measures with applications in network traffic engineering
Ashish Chandra, Mohit Tawarmalani
This paper presents a novel two-stage optimization framework designed to model integrated quantile functions, which leads to the formulation of a bilinear optimization problem (P).…
Minimum reflux calculation for multicomponent distillation in multi-feed, multi-product columns: Algorithms and examples
Zheyu Jiang, Mohit Tawarmalani, Rakesh Agrawal
In this work, we present the first algorithm for identifying the minimum reboiler vapor duty requirement for a general multi-feed, multi-product (MFMP) distillation column separati…
Discreteness to Convexity: Promotion Planning via Simplotope Triangulation
Taotao He, Mohit Tawarmalani
Price promotion optimization is a computationally challenging problem central to supermarket operations, requiring simultaneous pricing decisions across multiple products and perio…
Active Learning for Fair and Stable Online Allocations
Riddhiman Bhattacharya, Thanh Nguyen, Will Wei Sun +1
We explore an active learning approach for dynamic fair resource allocation problems. Unlike previous work that assumes full feedback from all agents on their allocations, we consi…
New finite relaxation hierarchies for concavo-convex, disjoint bilinear programs, and facial disjunctions
Mohit Tawarmalani
This paper introduces novel relaxation hierarchies for concavo-convex programs (CXP), a class of problems that includes disjoint bilinear programming (DBP) and concave minimization…