Linear programming ≈ Linear programming
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Actionable Recourse in Linear Classification Open
Machine learning models are increasingly used to automate decisions that affect humans - deciding who should receive a loan, a job interview, or a social service. In such applications, a person should have the ability to change the decisio…
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Transportable Energy Storage for More Resilient Distribution Systems With Multiple Microgrids Open
Transportable energy storage systems (TESSs) have great potential to enhance resilience of distribution systems (DSs) against large area blackouts. A joint post-disaster restoration scheme for TESS and generation scheduling in microgrids (…
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Mixed-Integer-Linear-Programming-Based Energy Management System for Hybrid PV-Wind-Battery Microgrids: Modeling, Design, and Experimental Verification Open
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A Geometric Approach to Aggregate Flexibility Modeling of Thermostatically Controlled Loads Open
Coordinated aggregation of a large population of thermostatically controlled loads (TCLs) presents a great potential to provide various ancillary services to the grid. One of the key challenges in coordination and control of TCLs is develo…
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Sequential Service Restoration for Unbalanced Distribution Systems and Microgrids Open
The resilience and reliability of modern power systems are threatened by increasingly severe weather events and cyber-physical security events. An effective restoration methodology is desired to optimally integrate emerging smart grid tech…
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Multi-UAV Routing for Area Coverage and Remote Sensing with Minimum Time Open
This paper presents a solution for the problem of minimum time coverage of ground areas using a group of unmanned air vehicles (UAVs) equipped with image sensors. The solution is divided into two parts: (i) the task modeling as a graph who…
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Wireless-Powered Communications With Non-Orthogonal Multiple Access Open
We study a wireless-powered uplink communication system with non-orthogonal\nmultiple access (NOMA), consisting of one base station and multiple energy\nharvesting users. More specifically, we focus on the individual data rate\noptimizatio…
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The sphere packing problem in dimension $24$ Open
Building on Viazovska's recent solution of the sphere packing problem in eight dimensions, we prove that the Leech lattice is the densest packing of congruent spheres in twenty-four dimensions and that it is the unique optimal periodic pac…
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Parallelizing the dual revised simplex method Open
This paper introduces the design and implementation of two parallel dual simplex solvers for general large scale sparse linear programming problems. One approach, called PAMI, extends a relatively unknown pivoting strategy called suboptimi…
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Multiperiod Distribution System Restoration With Routing Repair Crews, Mobile Electric Vehicles, and Soft-Open-Point Networked Microgrids Open
This paper proposes a distribution system restoration model which is in response to multiple outages caused by natural disasters. The proposed restoration model includes the coordination of routing repair crews (RRCs), mobile batterycarrie…
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Warm-starting quantum optimization Open
There is an increasing interest in quantum algorithms for problems of integer programming and combinatorial optimization. Classical solvers for such problems employ relaxations, which replace binary variables with continuous ones, for inst…
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Multi-Time Step Service Restoration for Advanced Distribution Systems and Microgrids Open
Modern power systems are facing increased risk of disasters that can cause extended outages. The presence of remote control switches (RCSs), distributed generators (DGs), and energy storage systems (ESS) provides both challenges and opport…
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Strategic weight manipulation in multiple attribute decision making Open
In some real-world multiple attribute decision making (MADM) problems, a decision maker can strategically set attribute weights to obtain her/his desired ranking of alternatives, which is called the strategic weight manipulation of the MAD…
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Joint Distribution Network and Renewable Energy Expansion Planning Considering Demand Response and Energy Storage—Part I: Stochastic Programming Model Open
The first part of this two-paper series describes the incorporation of demand response (DR) and energy storage systems (ESSs) in the joint distribution and generation expansion planning for isolated systems. The role of DR and ESS has rece…
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Energy Systems Integration in Smart Districts: Robust Optimisation of Multi-Energy Flows in Integrated Electricity, Heat and Gas Networks Open
Smart districts can provide flexibility from emerging distributed multi-energy technologies, thus bringing benefits to the district and the wider energy system. However, due to nonlinearity and modelling complexity, constraints associated …
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Energy-Efficient Admission of Delay-Sensitive Tasks for Mobile Edge Computing Open
Task admission is critical to delay-sensitive applications in mobile edge computing, but is technically challenging due to its combinatorial mixed nature and consequently limited scalability. We propose an asymptotically optimal task admis…
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Flexibility in Multi-Energy Communities With Electrical and Thermal Storage: A Stochastic, Robust Approach for Multi-Service Demand Response Open
There is increasing interest in multi-energy commu-nities, which could become important sources of demand re-sponse flexibility, especially when equipped with storage. Their location on distribution networks mean their exploitation to solv…
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A Stochastic Simplex Approximate Gradient (StoSAG) for optimization under uncertainty Open
Summary We consider a technique to estimate an approximate gradient using an ensemble of randomly chosen control vectors, known as Ensemble Optimization (EnOpt) in the oil and gas reservoir simulation community. In particular, we address h…
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Discriminative Elastic-Net Regularized Linear Regression Open
In this paper, we aim at learning compact and discriminative linear regression models. Linear regression has been widely used in different problems. However, most of the existing linear regression methods exploit the conventional zero-one …
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Control of Redundant Robots Under Hard Joint Constraints: Saturation in the Null Space Open
We present an efficient method for addressing online the inversion of differential task kinematics for redundant manipulators, in the presence of hard limits on joint space motion that can never be violated. The proposed SNS (Saturation in…
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Conic Programming Reformulations of Two-Stage Distributionally Robust Linear Programs over Wasserstein Balls Open
Adaptive robust optimization problems are usually solved approximately by restricting the adaptive decisions to simple parametric decision rules. However, the corresponding approximation error can be substantial. In this paper we show that…
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Fuzzy Mathematical Programming and Self-Adaptive Artificial Fish Swarm Algorithm for Just-in-Time Energy-Aware Flow Shop Scheduling Problem With Outsourcing Option Open
Flow shop scheduling (FSS) problem constitutes a major part of production planning in every manufacturing organization. It aims at determining the optimal sequence of processing jobs on available machines within a given customer order. In …
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Exact Methods for the Traveling Salesman Problem with Drone Open
Efficiently handling last-mile deliveries becomes more and more important nowadays. Using drones to support classical vehicles allows improving delivery schedules as long as efficient solution methods to plan last-mile deliveries with dron…
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A Railway Timetable Rescheduling Approach for Handling Large-Scale Disruptions Open
On a daily basis, large-scale disruptions require infrastructure managers and railway operators to reschedule their railway timetables together with their rolling stock and crew schedules. This research focuses on timetable rescheduling fo…
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Optimal information disclosure: A linear programming approach Open
An uninformed sender designs a mechanism that discloses information about her type to a privately informed receiver, who then decides whether to act. I impose a single-crossing assumption, so that the receiver with a higher type is more wi…
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Stochastic-Predictive Energy Management System for Isolated Microgrids Open
This paper presents the mathematical formulation and control architecture of a stochastic-predictive energy management system for isolated microgrids. The proposed strategy addresses uncertainty using a two-stage decision process combined …
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Mixed-integer linear programming based optimization strategies for renewable energy communities Open
Local and renewable energy communities show a high potential for the efficient use of distributed energy technologies at regional levels according to the Clean Energy Package of the European Union. However, until now there are only limited…
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Air separation with cryogenic energy storage: Optimal scheduling considering electric energy and reserve markets Open
The concept of cryogenic energy storage (CES) is to store energy in the form of liquid gas and vaporize it when needed to drive a turbine. Although CES on an industrial scale is a relatively new approach, the technology is well known and e…
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Optimal electric bus fleet scheduling considering battery degradation and non-linear charging profile Open
This study aims to determine the battery electric bus service and charging strategy to minimize the total operational cost of transit system, where the cost incurred by battery degradation and non-linear charging profile is taken into acco…
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On the Global Linear Convergence of Frank-Wolfe Optimization Variants Open
The Frank-Wolfe (FW) optimization algorithm has lately re-gained popularity thanks in particular to its ability to nicely handle the structured constraints appearing in machine learning applications. However, its convergence rate is known …