Robust Variable Selection with Optimality Guarantees for High-Dimensional Logistic Regression
Stats, 2021 High-dimensional classification studies have become widespread across various domains. The large dimensionality, coupled with the possible presence of data contamination, motivates the use of robust, sparse estimation methods to improve model ...
Luca Insolia +3 more
doaj +1 more source
Minimization of the distribution operating costs with D-STATCOMS: A mixed-integer conic model
Electric power systems research, 2022 —This paper addresses the problem of determining the optimal location and operation of distribution static synchronous compensators (D-STATCOMs) in power distribution networks.
O. Montoya, A. Garcés, W. Gil-González
semanticscholar +1 more source
Transformation of propositional calculus statements into integer and mixed integer programs: An approach towards automatic reformulation [PDF]
, 1990 A systematic procedure for transforming a set of logical statements or logical conditions imposed on a model into an Integer Linear Progamming (ILP) formulation Mixed Integer Programming (MIP) formulation is presented. An ILP stated as a system of linear
Hadjiconstantinou, E
core +6 more sources
IEEE Access, 2023 This paper considers constraints on the cycle number of energy storage systems (ESSs), travel distances of switchable capacitors reactors (SCRs), on load tap changers (OLTCs) and step voltage regulators (SVRs).
Jian Zhang, Yigang He
doaj +1 more source
Real-time microgrid economic dispatch based on model predictive control strategy
Journal of Modern Power Systems and Clean Energy, 2017 To deal with uncertainties of renewable energy, demand and price signals in real-time microgrid operation, this paper proposes a model predictive control strategy for microgrid economic dispatch, where hourly schedule is constantly optimized according to
Yan Du +4 more
doaj +1 more source
Mixed-Integer Conic Linear Programming: Challenges and Perspectives
, 2013 Abstract : Fundamental Disjunctive Conic Cut (DCC) methodology for Mixed-Integer Conic Linear Optimization (MICO) was developed. To describe the convex hull of the intersection of a convex set E and a linear disjunction is the fundamental problem, and that served as the core of solution techniques for MICO.
T. Terlaky
semanticscholar +2 more sources
Revisiting lagrange relaxation (LR) for processing large-scale mixed integer programming (MIP) problems [PDF]
, 2004 Lagrangean Relaxation has been successfully applied to process many well known instances of NP-hard Mixed Integer Programming problems. In this paper we present a Lagrangean Relaxation based generic solver for processing Mixed Integer Programming ...
Siamitros, C, Mitra, G, Poojari, CA
core +5 more sources
A Convex Optimization Algorithm for Electricity Pricing of Charging Stations
Algorithms, 2019 The problem of electricity pricing for charging stations is a multi-objective mixed integer nonlinear programming. Existing algorithms have low efficiency in solving this problem.
Jing Zhang +7 more
doaj +1 more source
Scenario-based cuts for structured two-stage stochastic and distributionally robust p-order conic mixed integer programs [PDF]
Journal of Global Optimization, 2021 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Manish Bansal, Yingqiu Zhang
openaire +4 more sources
Electronics, 2021 The problem of the optimal placement and dimensioning of constant power sources (i.e., distributed generators) in electrical direct current (DC) distribution networks has been addressed in this research from the point of view of convex optimization.
Federico Molina-Martin +3 more
semanticscholar +1 more source