Suchergebnisse - "Nonlinear Programming"

Scheduling local and express trains in suburban rail transit lines: Mixed–integer nonlinear programming and adaptive genetic algorithm von 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 von 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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A Lagrange–Newton algorithm for sparse nonlinear programming von Zhao, Chen, Xiu, Naihua, Qi, Houduo, Luo, Ziyan

“… The sparse nonlinear programming (SNP) problem has wide applications in signal and image processing, machine learning and finance, etc …”
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Iterative reweighted minimization methods for ... regularized unconstrained nonlinear programming von Lu, Zhaosong

“… (ProQuest: ... denotes formulae and/or non-USASCII text omitted; see image).In this paper we study general ... regularized unconstrained minimization problems …”
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Two-Timescale Multilayer Recurrent Neural Networks for Nonlinear Programming von Wang, Jiasen, Wang, Jun

“… This article presents a neurodynamic approach to nonlinear programming. Motivated by the idea of sequential quadratic programming, a class of two-timescale …”
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Interval-valued intuitionistic fuzzy multiple attribute decision making based on nonlinear programming methodology and TOPSIS method von Zeng, Shouzhen, Chen, Shyi-Ming, Fan, Kang-Yun

“… In this paper, we propose a new multiple attribute decision making (MADM) method based on the nonlinear programming (NLP …”
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Global optimization advances in Mixed-Integer Nonlinear Programming, MINLP, and Constrained Derivative-Free Optimization, CDFO von 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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Generalized Uniformly Optimal Methods for Nonlinear Programming von Ghadimi, Saeed, Lan, Guanghui, Zhang, Hongchao

“… Uniformly optimal convex programming algorithms have been designed to achieve the optimal complexity bounds for convex optimization problems regardless of the …”
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A Trust-Region Projection Neural Network for Nonlinear Programming von Huang, Haoen, Zeng, Zhigang, Wang, Jun

“… TRPNN is theoretically proven to be convergent to a Karush-Kuhn-Tuchker (KKT) point of nonlinear programming problems …”
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A Bayesian optimization approach for data‐driven mixed‐integer nonlinear programming problems von Morlet‐Espinosa, Javier, Flores‐Tlacuahuac, Antonio

“… The optimization of process systems within the field of Chemical Engineering often confronts uncertainties that can exert significant influences on the …”
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Control-Barrier-Function-Based Design of Gradient Flows for Constrained Nonlinear Programming von Allibhoy, Ahmed, Cortes, Jorge

“… This article considers the problem of designing a continuous-time dynamical system that solves a constrained nonlinear optimization problem and makes the …”
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Convergence of augmented Lagrangian methods in extensions beyond nonlinear programming von Rockafellar, R. Tyrrell

“… The augmented Lagrangian method (ALM) is extended to a broader-than-ever setting of generalized nonlinear programming in convex and nonconvex optimization that is capable of handling many common manifestations of nonsmoothness …”
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Vehicle dispatching in modular transit networks: A mixed-integer nonlinear programming model von Pei, Mingyang, Lin, Peiqun, Du, Jun, Li, Xiaopeng, Chen, Zhiwei

“… •A mixed-integer nonlinear programming model is proposed for vehicle dispatching in the MTNS …”
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Nonlinear programming reformulation of dynamic flux balance analysis models von de Oliveira, Rafael D., Le Roux, Galo A.C., Mahadevan, Radhakrishnan

“… Here, we applied a nonlinear programming formulation for solving dFBA models. The ODE system is discretized using the orthogonal collocation technique and the optimization problem is replaced by its first-order optimality conditions …”
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Modified γ-operator technique for intuitionistic fuzzy multi-objective nonlinear programming problems with application in agriculture von Kaur, Shubhpreet, Mahajan, Sumati, Chauhan, Abhishek

“… The proposed technique is rigorously validated through the proof of relevant theorems that demonstrate its capability to derive efficient solutions for multi-objective nonlinear programming problems …”
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Water Resources Quality Indicators Monitoring by Nonlinear Programming and Simulated Annealing Optimization with Ensemble Learning Approaches von Poursaeid, Mojtaba, Poursaeed, Amir Hossein, Shabanlou, Saeid

“… Recently, due to global climate change and population growth, environmental protection has become more interested. Water is the main critical issue because it …”
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A particle swarm–BFGS algorithm for nonlinear programming problems von Mohammad Nezhad, Ali, Aliakbari Shandiz, Roohollah, Eshraghniaye Jahromi, Abdolhamid

“… This article proposes a hybrid optimization algorithm based on a modified BFGS and particle swarm optimization to solve medium scale nonlinear programs. The …”
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TOPSIS-Based Nonlinear-Programming Methodology for Multiattribute Decision Making With Interval-Valued Intuitionistic Fuzzy Sets von Li, Deng-Feng

“… The aim of this paper is to develop a nonlinear-programming methodology that is based on the technique for order preference by similarity to ideal solution to solve multiattribute decision-making (MADM …”
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Quantitative Sensitivity Bounds for Nonlinear Programming and Time-Varying Optimization von Subotic, Irina, Hauswirth, Adrian, Dorfler, Florian

“… Inspired by classical sensitivity results for nonlinear optimization, we derive and discuss new quantitative bounds to characterize the solution map and dual …”
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Higher-order interior point methods for convex nonlinear programming von Espaas, T.A., Vassiliadis, V.S.

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