Abstract: The Distribution Network Reconfiguration (DNR) problem is a well-known problem in the field of power system optimization. It consists of altering the state of the switches in Distribution ...

Drug development often progresses from one phase to the next without considering long-term feasibility, such as scalability, cost-effectiveness, and market access. Sustainable success is assured by ...

A comprehensive framework for formulating and solving realistic portfolio optimization problems as mixed-integer convex optimization models (MIQP/MISOCP). This project implements a custom ...

We combine Mixed-Integer Programming (MIP) with Machine Learning to find near-optimal portfolios efficiently: maximize: μᵀw - λ·(wᵀΣw) - transaction_costs(w, w_prev) subject to: 1. Σwᵢ = 1 (budget ...

Department of Chemistry and Applied Biosciences, Institute for Chemical and Bioengineering, ETH Zürich, Vladimir-Prelog-Weg 1-5/10, Zürich 8093, Switzerland ...

This paper presents a novel approach to the joint optimization of job scheduling and data allocation in grid computing environments. We formulate this joint optimization problem as a mixed integer ...

Drug-product formulation and fill–finish are critical steps in biopharmaceutical manufacturing because they have direct bearing on therapeutic efficacy, product stability, and patient safety. Such ...

The objective of the 3D-SCALO problem is to assign the given components to optimal mounting surfaces and position them at the best locations, while satisfying the requirements for (1) heat dissipation ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. There is a need for design strategies that can support rapid and widespread deployment ...

We investigate the information complexity of mixed-integer convex optimization under different types of oracles. We establish new lower bounds for the standard first-order oracle, improving upon the ...