Search Results - (mixed‐integer OR mixed‐internet) nonlinear programming algorithm

Scheduling local and express trains in suburban rail transit lines: Mixed–integer nonlinear programming and adaptive genetic algorithm by Tang, Lianhua, D’Ariano, Andrea, Xu, Xingfang, Li, Yantong, Ding, Xiaobing, Samà, Marcella

“… Next, we develop two mixed–integer nonlinear programming models under the ELM with and without “overtaking…”
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Mixed-integer nonlinear programming 2018 by Sahinidis, Nikolaos V.

“…Mixed-Integer Nonlinear Programming (MINLP) is the area of optimization that addresses nonlinear problems with continuous and integer variables…”
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Global optimization advances in Mixed-Integer Nonlinear Programming, MINLP, and Constrained Derivative-Free Optimization, CDFO by Boukouvala, Fani, Misener, Ruth, Floudas, Christodoulos A.

“…•We review the recent advances in global optimization for Mixed Integer Nonlinear Programming, MINLP…”
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Mixed-Integer Nonlinear Programming for Energy-Efficient Container Handling: Formulation and Customized Genetic Algorithm by Xin, Jianbin, Meng, Chuang, D'Ariano, Andrea, Wang, Dongshu, Negenborn, Rudy R.

“… In our scheduling problem, operation times and task sequences are both to be determined. The underlying optimization problem is mixed-integer nonlinear programming (MINLP…”
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Mixed-integer nonlinear optimization by Belotti, Pietro, Kirches, Christian, Leyffer, Sven, Linderoth, Jeff, Luedtke, James, Mahajan, Ashutosh

“… These decision problems lead to mixed-integer nonlinear programming (MINLP) problems that combine the combinatorial difficulty of optimizing over discrete variable sets with the challenges of handling nonlinear functions…”
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SO-MI: A surrogate model algorithm for computationally expensive nonlinear mixed-integer black-box global optimization problems by Müller, Juliane, Shoemaker, Christine A., Piché, Robert

“…This paper introduces a surrogate model based algorithm for computationally expensive mixed-integer black-box global optimization problems with both binary and non-binary integer variables…”
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A hybrid algorithm for mixed integer nonlinear programming in residential energy management by Huang, Yantai, Wang, Wanliang, Hou, Beiping

“… However, DR suffers from difficulties associated with optimization model complexity. Especially, when the DR problem is formulated as a mixed integer nonlinear programming (MINLP…”
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Two linear approximation algorithms for convex mixed integer nonlinear programming by Melo, Wendel, Fampa, Marcia, Raupp, Fernanda

“…We present two new algorithms for convex Mixed Integer Nonlinear Programming (MINLP), both based on the well known Extended Cutting Plane…”
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Homotopy continuation enhanced branch and bound algorithms for strongly nonconvex mixed‐integer nonlinear optimization by Ma, Yingjie, Li, Jie

“…Large‐scale strongly nonlinear and nonconvex mixed‐integer nonlinear programming (MINLP…”
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Exploiting integrality in the global optimization of mixed-integer nonlinear programming problems with BARON by Kılınç, Mustafa R., Sahinidis, Nikolaos V.

“… A primary development was the addition of mixed-integer linear programming relaxations to BARON's portfolio of linear and nonlinear programming relaxations, aiming to improve dual bounds and offer…”
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Mixed-Integer Nonlinear Programming for State-Based Non-Intrusive Load Monitoring by Balletti, Marco, Piccialli, Veronica, Sudoso, Antonio M.

“… In the first phase, a small training set consisting of disaggregated power profiles is used to estimate the parameters and the power states by solving a mixed integer programming problem…”
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A differential evolution algorithm for solving mixed-integer nonlinear programming problems by Molina-Pérez, Daniel, Mezura-Montes, Efrén, Portilla-Flores, Edgar Alfredo, Vega-Alvarado, Eduardo, Calva-Yañez, Bárbara

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Global optimization algorithm for mixed-integer nonlinear programs with trigonometric functions by Montez, Christopher, Sanjeevi, Sujeevraja, Sundar, Kaarthik

“…This article presents the first mixed-integer linear programming (MILP)-based iterative algorithm to solve factorable mixed-integer nonlinear programs (MINLPs…”
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Stochastic dual dynamic programming for multistage stochastic mixed-integer nonlinear optimization by Zhang, Shixuan, Sun, Xu Andy

“…In this paper, we study multistage stochastic mixed-integer nonlinear programs (MS-MINLP). This general class of problems encompasses, as important special…”
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SCIP: global optimization of mixed-integer nonlinear programs in a branch-and-cut framework by Vigerske, Stefan, Gleixner, Ambros

“…This paper describes the extensions that were added to the constraint integer programming framework SCIP in order to enable it to solve convex and nonconvex mixed-integer nonlinear programs (MINLPs…”
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Superstructure-based mixed-integer nonlinear programming framework for hybrid heat sources driven organic Rankine cycle optimization by Liang, Zheng, Liang, Yingzong, Luo, Xianglong, Chen, Jianyong, Yang, Zhi, Wang, Chao, Chen, Ying

“…Superstructure-based mixed integer nonlinear programming framework for hybrid heat sources driven organic Rankine cycles optimization is addressed. [Display omitted…”
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Hybrid improved sine cosine algorithm for mixed-integer nonlinear programming problems by Song, Haohao, Wang, Jiquan, Cheng, Zhiwen, Chang, Tiezhu

“…Aiming at the shortcomings of existing algorithms in solving mixed-integer programming problems, such as local convergence and poor solution accuracy, this paper presents a hybrid improved sine and cosine algorithm…”
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The decomposition-based outer approximation algorithm for convex mixed-integer nonlinear programming by Muts, Pavlo, Nowak, Ivo, Hendrix, Eligius M. T

“…This paper presents a new two-phase method for solving convex mixed-integer nonlinear programming (MINLP…”
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The application of 0–1 mixed integer nonlinear programming optimization model based on a surrogate model to identify the groundwater pollution source by Guo, Jia-yuan, Lu, Wen-xi, Yang, Qing-chun, Miao, Tian-sheng

“…–1 mixed integer nonlinear programming optimization model to enable the simultaneous identification of both location (integer variable…”
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A branch-and-bound algorithm based on NSGAII for multi-objective mixed integer nonlinear optimization problems by Jaber, A., Lafon, P., Younes, R.

“…Solving Multi-Objective Mixed Integer NonLinear Programming (MO-MINLP) problems is a point of interest for many researchers as they appear in several real-world applications, especially in the mechanical engineering field…”
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