Search Results - mixed binary interior programming problem

Notoriously hard (mixed-)binary QPs: empirical evidence on new completely positive approaches by Bomze, Immanuel M., Cheng, Jianqiang, Dickinson, Peter J. C., Lisser, Abdel, Liu, Jia

“…By now, many copositive reformulations of mixed-binary QPs have been discussed, triggered…”
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A cutting-plane approach for large-scale capacitated multi-period facility location using a specialized interior-point method by Castro, Jordi, Nasini, Stefano, Saldanha-da-Gama, Francisco

“… The primal block-angular structure of the resulting linear optimization problems is exploited by the interior-point method, allowing…”
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A fresh CP look at mixed-binary QPs: new formulations and relaxations by Bomze, Immanuel M., Cheng, Jianqiang, Dickinson, Peter J. C., Lisser, Abdel

“…Triggered by Burer’s seminal characterization from 2009, many copositive reformulations of mixed-binary QPs have been discussed by now…”
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A computational study for bilevel quadratic programs using semidefinite relaxations by Adasme, Pablo, Lisser, Abdel

“… In this paper, we deal with bilevel quadratic programming problems with binary decision variables in the leader problem and convex quadratic programs in the follower problem…”
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An Incomplete Observability-Constrained PMU Allocation Problem by Using Mathematical and Evolutionary Algorithms by Theodorakatos, Nikolaos P., Babu, Rohit, Moschoudis, Angelos P.

“… These algorithms include discrete, continuous and metaheuristic methods. Initially, the optimization problem is approached by implementing a zero-one mixed integer linear…”
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Dantzig-Wolfe Decomposition for Solving Multistage Stochastic Capacity-Planning Problems by Singh, Kavinesh J, Philpott, Andy B, Wood, R. Kevin

“…We describe a multistage, stochastic, mixed-integer programming model for planning capacity expansion of production facilities…”
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A linear optimization-based method for data privacy in statistical tabular data by Castro, Jordi, González, José A.

“… The standard CTA approach results in a mixed integer linear optimization (MILO) problem, which is very challenging for current technology…”
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Risk‐constrained offering strategies for a large‐scale price‐maker electric vehicle demand aggregator by Hossein Abbasi, Mohammad, Taki, Mehrdad, Rajabi, Amin, Li, Li, Zhang, Jiangfeng

“… Since the problem is heavily constrained by equality constraints, the number of binary variables for a 24…”
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Embedded optimization for mixed logical dynamical systems by Frick, Damian, Domahidi, Alexander, Morari, Manfred

“…•First branch-and-bound hybrid MPC solver that targets embedded systems.•Problem-specific ANSI-C implementation can be automatically generated…”
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Unit commitment problem in deregulated environment by Bisanovic, Smajo, Hajro, Mensur, Dlakic, Muris

“… The self-scheduling model is formulated as deterministic optimization problem in which expected profit is maximized by 0/1 mixed-integer linear programming technique…”
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Implementation of Mixed-integer Programming on Embedded System by Novak, Jakub, Chalupa, Petr

“…) method which requires the solution of the quadratic programming problem. For systems with binary input variables the quadratic problem is replaced by more challenging Mixed-Integer Quadratic Programming (MIQP) problem…”
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On the Conic Convex Approximation to Locate and Size Fixed-Step Capacitor Banks in Distribution Networks by Montoya, Oscar Danilo, Gil-González, Walter, Garcés, Alejandro

“… This problem is formulated through a mixed-integer nonlinear programming (MINLP) model, in which its binary/integer variables are related to the nodes where the capacitors will be installed…”
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A Two-Stage Approach to Locate and Size PV Sources in Distribution Networks for Annual Grid Operative Costs Minimization by Montoya, Oscar Danilo, Rivas-Trujillo, Edwin, Hernández, Jesus C.

“…) generation units in medium-voltage distribution networks. The optimization problem is formulated with a mixed-integer nonlinear programming (MINLP…”
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Corrective Power Network Reconfiguration for Eliminating Transmission Lines Overload by Zhang, Yingling, Xu, Zhengqi, Kuang, Jing, Han, Ye, Zheng, Liwei, Guo, Ruipeng

“… The proposed model is a mixed integer nonlinear programming (MINLP) model, because it considers the AC power flow constraints and introduces binary integer variables…”
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Scheduling of repetitive construction processes with concurrent work of similarly specialized crews by Jaskowski, Piotr, Biruk, Slawomir

“… To address this gap, the authors put forward a mathematical model of the problem of scheduling of repetitive…”
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The other side of ranking schemes: generating weights for specified outcomes by Bougnol, Marie-Laure, Dulá, Jose H.

“…This paper treats the problem of how to determine weights in a ranking, which will cause a selected entity to attain the highest possible position…”
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Estrategia de optimización híbrida para ubicación y dimensionamiento óptimo de GD en redes de distribución by Danilo Montoya, Oscar, Gil-González, Walter, Fernando Grisales-Noreña, Luis, Ramírez Vanegas, Carlos Alberto, Molina-Cabrera, Alexander

“… clásico de punto interior disponible en la caja de herramientas fmincon de MATLAB Palabras clave: Algoritmo…”
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Relaxations applicable to mixed integer predictive control comparisons and efficient computations by Axehill, D., Hansson, A., Vandenberghe, L.

“…In this work, different relaxations applicable to an MPC problem with a mix of real valued and binary valued control signals are compared…”
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Constraints Satisfaction through Recursive Neural Networks with Mixed Penalties: a Case Study by Privault, C., Hérault, L.

“…This paper investigates an industrial assignment problem. It is modelized as a constraint satisfaction problem of large size with linear inequalities and binary variables…”
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Offloading Energy Efficiency with Delay Constraint for Cooperative Mobile Edge Computing Networks by Vu, Thai T, Nguyen Van Huynh, Dinh Thai Hoang, Nguyen, Diep N, Dutkiewicz, Eryk

“… while meeting their delay requirements. To find the optimal task offloading decisions for mobile users, we first formulate the joint task offloading and resource allocation optimization problem as a mixed integer non-linear programming (MINLP…”
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