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20162022
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math.OC2022

Time-Varying Parameters in Sequential Decision Making Problems

Amber Srivastava, S. M. Salapaka

In this paper we address the class of Sequential Decision Making (SDM) problems that are characterized by time-varying parameters. These parameter dynamics are either pre-specified…

math.OC2021

Design of Experiments with Imputable Feature Data: An Entropy-Based Approach

Raj K. Velicheti, Amber Srivastava, Srinivasa M. Salapaka

Tactical selection of experiments to estimate an underlying model is an innate task across various fields. Since each experiment has costs associated with it, selecting statistical…

math.OC2020

Inequality Constraints in Facility Location and Other Similar Optimization Problems: An Entropy Based Approach

Amber Srivastava, Gabriel Barsi Haberfeld, Naira Hovakimyan +1

In this paper we propose an annealing based framework to incorporate inequality constraints in optimization problems such as facility location, simultaneous facility location with…

math.OC2019

Multiway k-Cut in Static and Dynamic Graphs: A Maximum Entropy Principle Approach

Mayank Baranwal, Amber Srivastava, Srinivasa Salapaka

This work presents a maximum entropy principle based algorithm for solving minimum multiway -cut problem defined over static and dynamic {\em digraphs}. A multiway -cut probl…

math.OC2016

Clustering with Capacity and Size Constraints: A Deterministic Approach

Mayank Baranwal, Srinivasa M. Salapaka

This paper discusses a deterministic clustering approach to capacitated resource allocation problems. In particular, the Deterministic Annealing (DA) algorithm from the data-compre…

math.OC2016

A Deterministic Annealing Approach to the Multiple Traveling Salesmen and Related Problems

Mayank Baranwal, Brian Roehl, Srinivasa M. Salapaka

This paper presents a novel and efficient heuristic framework for approximating the solutions to the multiple traveling salesmen problem (m-TSP) and other variants on the TSP. The…