Suchergebnisse - Optimization- Integer Programming General Terms

Train scheduling for minimizing passenger waiting time with time-dependent demand and skip-stop patterns: Nonlinear integer programming models with linear constraints von Niu, Huimin, Zhou, Xuesong, Gao, Ruhu

“… •Implemented and efficiently solved by general purpose high-level optimization solvers. This paper focuses on how to minimize the total passenger waiting time at stations …”
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On piecewise linear approximations of bilinear terms: structural comparison of univariate and bivariate mixed-integer programming formulations von Bärmann, Andreas, Burlacu, Robert, Hager, Lukas, Kleinert, Thomas

“… Bilinear terms naturally appear in many optimization problems. Their inherent non-convexity typically makes them challenging to solve …”
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On handling indicator constraints in mixed integer programming von Belotti, Pietro, Bonami, Pierre, Fischetti, Matteo, Lodi, Andrea, Monaci, Michele, Nogales-Gómez, Amaya, Salvagnin, Domenico

“… Mixed integer programming (MIP) is commonly used to model indicator constraints, i.e., constraints that either hold or are relaxed depending on the value of a binary variable …”
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Robust mixed-integer linear programming models for the irregular strip packing problem von Cherri, Luiz H., Mundim, Leandro R., Andretta, Marina, Toledo, Franklina M.B., Oliveira, José F., Carravilla, Maria Antónia

“… Therefore, mixed-integer linear programming (MIP) models started to be developed …”
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Dig-limits optimization through mixed-integer linear programming in open-pit mines von Sari, Yuksel Asli, Kumral, Mustafa

“… As a type of general layout problems, dig-limits optimization focuses on generating the ore-waste boundaries of a bench sector in an open-pit mining operation …”
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Optimization Analysis of Medium- to Long-Term Ore Drawing Schedule Based on MIP in Block Cave Mining von Ren, Zhu-li, Yuan, Rui-fu, Wang, Li-guan, Du, Feng, Deng, Haokun

“… The mixed integer programming (MIP) method has been proved to be very effective in solving the medium- to long-term drawing sequence optimization problem in mines …”
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Mixed integer programming of multi-objective security-constrained hydro/thermal unit commitment von Reza Norouzi, Mohammad, Ahmadi, Abdollah, Esmaeel Nezhad, Ali, Ghaedi, Amir

“… ). Besides, the model of SCUC is transformed into mixed integer linear programming (MILP) instead of using mixed integer non-linear programming (MINLP …”
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The Ancestral Benders’ cutting plane algorithm with multi-term disjunctions for mixed-integer recourse decisions in stochastic programming von Qi, Yunwei, Sen, Suvrajeet

“… This paper focuses on solving two-stage stochastic mixed integer programs (SMIPs) with general mixed integer decision variables in both stages …”
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Long-term optimization of cogeneration systems in a competitive market environment von Thorin, Eva, Brand, Heike, Weber, Christoph

“… A tool for long-term optimization of cogeneration systems is developed that is based on mixed integer linear-programming and Lagrangian relaxation …”
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Optimal training of integer-valued neural networks with mixed integer programming von Thorbjarnarson, Tómas, Yorke-Smith, Neil

“… Recent work has shown potential in using Mixed Integer Programming (MIP) solvers to optimize certain aspects of neural networks (NNs …”
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A study of progressive hedging for stochastic integer programming von Christiansen, Jeffrey, Dandurand, Brian, Eberhard, Andrew, Oliveira, Fabricio

“… ) to stochastic mixed-integer programming (SMIP) problems, we provide theoretical support for the inclusion of integer variables, bridging the gap between theory and practice …”
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Mixed-integer linear programming and constraint programming formulations for solving resource availability cost problems von Kreter, Stefan, Schutt, Andreas, Stuckey, Peter J., Zimmermann, Jürgen

“… •Mixed-integer linear and constraint programming formulations are presented.•All open instances from literature can be solved to proven optimality …”
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Sustainable Short-Term Production Planning Optimization von Zanella, Fernando, Vaz, Clara Bento

“… The framework consists of two sequential levels: (1) a Mixed-Integer Linear Programming (MILP) model to determine the optimal production quantities per week while minimizing the total cost …”
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Integrating general principles into mixed-integer programming to optimize schematic network maps von Lan, Tian, Li, Zhilin, Ti, Peng

“… In these methods, optimization techniques work with various sets of constraints. Most of these constraints govern geometric properties of individual features …”
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Solving multistatic sonar location problems with mixed-integer programming von Fügenschuh, Armin R., Craparo, Emily M., Karatas, Mumtaz, Buttrey, Samuel E.

“… A multistatic sonar system consists of one or more sources that are able to emit underwater sound, and receivers that listen to the reflected sound waves …”
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New integer optimization models and an approximate dynamic programming algorithm for the lot-sizing and scheduling problem with sequence-dependent setups von Lee, Younsoo, Lee, Kyungsik

“… In this paper, we propose new integer optimization models for the lot-sizing and scheduling problem with sequence-dependent setups, based on the general lot-sizing and scheduling problem …”
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Distributed Mixed-Integer Linear Programming via Cut Generation and Constraint Exchange von Testa, Andrea, Rucco, Alessandro, Notarstefano, Giuseppe

“… Many problems of interest for cyber-physical network systems can be formulated as mixed-integer linear programs in which the constraints are distributed among the agents …”
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Feature subset selection for logistic regression via mixed integer optimization von Sato, Toshiki, Takano, Yuichi, Miyashiro, Ryuhei, Yoshise, Akiko

“… For this purpose, we devise mixed integer optimization formulations for feature subset selection in logistic regression …”
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Integer programming models for mid-term production planning for high-tech low-volume supply chains von de Kruijff, Joost T., Hurkens, Cor A.J., de Kok, Ton G.

“… This paper studies the mid-term production planning of high-tech low-volume industries. Mid-term production planning (6 to 24 months …”
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Multi-Objective Integer Programming: An Improved Recursive Algorithm von Ozlen, Melih, Burton, Benjamin A., MacRae, Cameron A. G.

“… This paper introduces an improved recursive algorithm to generate the set of all nondominated objective vectors for the Multi-Objective Integer Programming (MOIP) problem …”
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