activity
20072023
most citedMinimum Cost Homomorphisms to Locally Semicomplete and Quasi-Transitive Digraphs

3 citations · 6 across the 9 of their papers we have counts for

collaborators

11 papers

math.OC2023

Radial Partitioning with Spectral Penalty Parameter Selection in Distributed Optimization for Power Systems

Mehdi Karimi

This paper proposes group-based distributed optimization (DO) algorithms on top of intelligent partitioning for the optimal power flow (OPF) problems. Radial partitioning of the gr…

cs.RO2020

Investigation of Warrior Robots Behavior by Using Evolutionary Algorithms

Shahriar Sharifi Borojerdi, Mehdi Karimi, Ehsan Amiri

In this study, we review robots behavior especially warrior robots by using evolutionary algorithms. This kind of algorithms is inspired by nature that causes robots behaviors get…

math.OC2019

Domain-Driven Solver (DDS) Version 2.0: a MATLAB-based Software Package for Convex Optimization Problems in Domain-Driven Form

Mehdi Karimi, Levent Tunçel

Domain-Driven Solver (DDS) is a MATLAB-based software package for convex optimization problems in Domain-Driven form [Karimi and Tunçel, arXiv:1804.06925]. The current version of D…

math.OC2019

Status Determination by Interior-Point Methods for Convex Optimization Problems in Domain-Driven Form

Mehdi Karimi, Levent Tunçel

We study the geometry of convex optimization problems given in a Domain-Driven form and categorize possible statuses of these problems using duality theory. Our duality theory for…

math.OC2018★ 2 cited

Primal-Dual Interior-Point Methods for Domain-Driven Formulations

Mehdi Karimi, Levent Tunçel

We study infeasible-start primal-dual interior-point methods for convex optimization problems given in a typically natural form we denote as Domain-Driven formulation. Our algorith…

math.OC2014

Primal-Dual Entropy Based Interior-Point Algorithms for Linear Optimization

Mehdi Karimi, Shen Lou, Levent Tunçel

We propose a family of search directions based on primal-dual entropy in the context of interior-point methods for linear optimization. We show that by using entropy based search d…