Suchergebnisse - computational methods for problems pertaining to operations research AND mathematical programming~

Solving higher dimensional expensive black box global optimization problems using sparse directional search on surrogates von Liu, Limeng, Yang, Muming, Shoemaker, Christine A., Xie, Tingting

“… We present a new algorithm Directional Optimization Search with Surrogate (DOSS), for optimizing problems with box constraints and a computationally expensive black-box objective function …”
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Gaining insight into crew rostering instances through ML-based sequential assignment von Racette, Philippe, Quesnel, Frédéric, Lodi, Andrea, Soumis, François

“… Crew scheduling is typically performed in two stages. First, solving the crew pairing problem generates sequences of flights called pairings …”
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Bat algorithm applied to continuous constrained optimization problems von Karakonstantis, Ioannis, Vlachos, Aristidis

“… The method is trying to replicate the echolocation behavior of bats with artificial ones. In this paper, we apply BA to the well-known problem of economic load dispatch, in different power demand scenarios …”
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A generic exact solver for vehicle routing and related problems von Pessoa, Artur, Sadykov, Ruslan, Uchoa, Eduardo, Vanderbeck, François

“… Major advances were recently obtained in the exact solution of vehicle routing problems (VRPs …”
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A solution framework for linear PDE-constrained mixed-integer problems von Gnegel, Fabian, Fügenschuh, Armin, Hagel, Michael, Leyffer, Sven, Stiemer, Marcus

“… We present a general numerical solution method for control problems with state variables defined by a linear PDE over a finite set of binary or continuous control variables …”
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A continuous-time linear complementarity system for dynamic user equilibria in single bottleneck traffic flows von Pang, Jong-Shi, Han, Lanshan, Ramadurai, Gitakrishnan, Ukkusuri, Satish

“… new entry to the mathematical programming field, the LCS provides a computational tractable framework …”
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A Mixed-Integer Programming Model for Reconfiguration of Active Distribution Systems Considering Voltage Dependency and Type of Loads and Renewable Sources von Mahdavi, Meisam, Schmitt, Konrad, Chamana, Manohar, Jurado, Francisco, Bayne, Stephen, Marfo, Emmanuel Attah, Awaafo, Augustine

“… Enhancing the efficiency of distribution systems can be effectively achieved through hybrid reconfiguration and the coordinated operation of distributed generators (DGs …”
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Bilevel optimization to deal with demand response in power grids: models, methods and challenges von Henggeler Antunes, Carlos, Alves, Maria João, Ecer, Billur

“… This paper presents a review of selected models, methods, and challenges associated with the use of bilevel optimization in problems that involve consumers …”
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Scheduling of airport runway operations using stochastic branch and bound methods von Sölveling, Gustaf, Clarke, John-Paul

“… The objective of the scheduling problem is to find a sequence of aircraft operations on one or several runways that minimizes the total makespan, given uncertain aircraft availability at the runway …”
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A column generation mathematical programming approach for a class-faculty assignment problem with preferences von Al-Yakoob, Salem M., Sherali, Hanif D.

“… ; however, the distribution of these class-sections into available time-slots is determined via a mixed-integer programming model that takes into consideration faculty members …”
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Continuous-Time Generalized Fractional Programming Problems. Part I: Basic Theory von Wen, Ching-Feng

“… This study, that will be presented as two parts, develops a computational approach to a class of continuous-time generalized fractional programming problems …”
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Sustainable dynamic cellular facility layout: a solution approach using simulated annealing-based meta-heuristic von Lamba, Kuldeep, Kumar, Ravi, Mishra, Shraddha, Rajput, Shubhangini

“… The fiercely competitive business environment may require the manufacturing layouts to be modified across the entire planning horizon owing to addition or …”
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Benders decomposition with adaptive oracles for large scale optimization von Mazzi, Nicolò, Grothey, Andreas, McKinnon, Ken, Sugishita, Nagisa

“… This paper proposes an algorithm to efficiently solve large optimization problems which exhibit a column bounded block-diagonal structure, where subproblems differ in right-hand side and cost coefficients …”
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Perseus: a simple and optimal high-order method for variational inequalities: Perseus: a simple and optimal high-order method for von Lin, Tianyi, Jordan, Michael I.

“… of Newton’s method for convex problems with constraints, Tech. rep., Université catholique de Louvain, Center for Operations Research and Econometrics (CORE), 2006 …”
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A modified Intelligent Water Drops algorithm and its application to optimization problems von Alijla, Basem O., Wong, Li-Pei, Lim, Chee Peng, Khader, Ahamad Tajudin, Al-Betar, Mohammed Azmi

“… •The exponential ranking method is effective in enhancing the IWD performance.•The computational requirements of the proposed methods need further investigation …”
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Relax-and-Fix and Fix-and-Optimise algorithms to solve an integrated network design problem for closing a supply chain with hybrid retailers/collection centres von Amiri-Aref, Mehdi, Doostmohammadi, Mahdi

“… This paper proposes a mathematical programming model that integrates strategic decisions regarding the number and location of hybrid retailer/collection centre facilities, with dynamic decisions …”
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An Internet-of-Things-Based Dynamic Scheduling Optimization Method for Unreliable Flexible Manufacturing Systems under Complex Operational Conditions von Dabwan, Abdulmajeed, Kaid, Husam, Al-Ahmari, Abdulrahman, Alqahtani, Khaled N., Ameen, Wadea

“… ) with concurrency, conflicts, resource sharing, and sequential operations is a complex optimization problem that requires the use of efficient solution methodologies …”
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Simulation-optimization framework for stochastic optimization of R&D pipeline management von Subramanian, Dharmashankar, Pekny, Joseph F., Reklaitis, Gintaras V., Blau, Gary E.

“… The simulation‐based optimization framework (Sim‐Opt) uses a twin‐loop computational architecture, which combines mathematical programming and discrete event simulation, to address this problem …”
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