Results 11 to 20 of about 221 (153)
Consistent Second-Order Conic Integer Programming for Learning Bayesian Networks [PDF]
Journal of machine learning research : JMLR, 2020 Bayesian Networks (BNs) represent conditional probability relations among a set of random variables (nodes) in the form of a directed acyclic graph (DAG), and have found diverse applications in knowledge discovery. We study the problem of learning the sparse DAG structure of a BN from continuous observational data. The central problem can be modeled as
Simge Küçükyavuz +4 more
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Extended formulations in mixed integer conic quadratic programming [PDF]
Mathematical Programming Computation, 2016 In this paper we consider the use of extended formulations in LP-based algorithms for mixed integer conic quadratic programming (MICQP). Extended formulations have been used by Vielma, Ahmed and Nemhauser (2008) and Hijazi, Bonami and Ouorou (2013) to construct algorithms for MICQP that can provide a significant computational advantage.
Juan Pablo Vielma +3 more
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New Formulation of Mixed-Integer Conic Programming for Globally Optimal Grasp Planning [PDF]
IEEE Robotics and Automation Letters, 2020 We present a two-level branch-and-bound (BB) algorithm to compute the optimal gripper pose that maximizes a grasp metric in a restricted search space. Our method can take the gripper's kinematics feasibility into consideration to ensure that a given gripper can reach the set of grasp points without collisions or predict infeasibility with finite-time ...
Min Liu 0019 +3 more
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Energies, 2021 Distributed generators providing auxiliary service are an important means of guaranteeing the safe and economic operation of a distribution system.
Jian Zhang, Mingjian Cui, Yigang He
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Optimal flexibility coordination for energy procurement in distribution networks
IET Renewable Power Generation, 2021 The main goal of distribution network operator is to establish a balance between supply and demand at the lowest cost while considering the technical constraints. Nowadays, distribution network operators exploit various types of flexibilities to minimise
Ehsan Hooshmand +3 more
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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
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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
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A Unified Early Termination Technique for Primal-Dual Algorithms in Mixed Integer Conic Programming
IEEE Control Systems Letters, 2023 We propose an early termination technique for mixed integer conic programming for use within branch-and-bound based solvers. Our approach generalizes previous early termination results for ADMM-based solvers to a broader class of primal-dual algorithms, including both operator splitting methods and interior point methods.
Yuwen Chen, Catherine Ning, Paul Goulart
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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
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Optimal allocation of static var compensator via mixed integer conic programming [PDF]
2017 IEEE Power & Energy Society General Meeting, 2017 Shunt FACTS devices, such as, a Static Var Compensator (SVC), are capable of providing local reactive power compensation. They are widely used in the network to reduce the real power loss and improve the voltage profile. This paper proposes a planning model based on mixed integer conic programming (MICP) to optimally allocate SVCs in the transmission ...
Zhang, Xiaohu +6 more
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