Výsledky vyhledávání - Box constrained nonlinear integer programming*

A discrete dynamic convexized method for nonlinear integer programming Autor Zhu, Wenxing, Fan, Hong

“…In this paper, we consider the box constrained nonlinear integer programming problem…”
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Discrete dynamic convexized method for nonlinearly constrained nonlinear integer programming Autor Zhu, Wenxing, Ali, M.M.

“…This paper considers the nonlinearly constrained nonlinear integer programming problem over a bounded box…”
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Global optimization advances in Mixed-Integer Nonlinear Programming, MINLP, and Constrained Derivative-Free Optimization, CDFO Autor 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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Adaptive piecewise linear relaxations for enclosure computations for nonconvex multiobjective mixed-integer quadratically constrained programs Autor Link, Moritz, Volkwein, Stefan

“…In this paper, a new method for computing an enclosure of the nondominated set of multiobjective mixed-integer quadratically constrained programs without any convexity requirements is presented…”
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SO-MI: A surrogate model algorithm for computationally expensive nonlinear mixed-integer black-box global optimization problems Autor 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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An adaptive multiquadric radial basis function method for expensive black-box mixed-integer nonlinear constrained optimization Autor Rashid, Kashif, Ambani, Saumil, Cetinkaya, Eren

“… This article presents a methodology for treating expensive simulation-based nonlinear constraints alongside an expensive simulation-based objective function using adaptive radial basis function techniques…”
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Derivative-free methods for mixed-integer nonsmooth constrained optimization Autor Giovannelli, Tommaso, Liuzzi, Giampaolo, Lucidi, Stefano, Rinaldi, Francesco

“…In this paper, mixed-integer nonsmooth constrained optimization problems are considered, where objective/constraint functions are available only as the output of a black-box zeroth-order oracle…”
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An adaptive radial basis algorithm (ARBF) for expensive black-box mixed-integer constrained global optimization Autor Holmström, Kenneth, Quttineh, Nils-Hassan, Edvall, Marcus M.

“… computationally costly, global black-box nonconvex optimization problems. In this paper we describe extensions of these methods to handle linear, nonlinear, and integer constraints…”
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RBFOpt: an open-source library for black-box optimization with costly function evaluations Autor Costa, Alberto, Nannicini, Giacomo

“…We consider the problem of optimizing an unknown function given as an oracle over a mixed-integer box-constrained set…”
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Hybridizing ant colony optimization algorithm with nonlinear programming method for effective optimal design of sewer networks Autor Moeini, Ramtin, Afshar, Mohammad Hadi

“…) for the optimal design of sewer networks. The resulting problem is a highly constrained mixed integer nonlinear problem (MINLP…”
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Bi-level data-driven enterprise-wide optimization with mixed-integer nonlinear scheduling problems Autor Nikkhah, Hasan, Aghayev, Zahir, Shahbazi, Amir, Charitopoulos, Vassilis M., Avraamidou, Styliani, Beykal, Burcu

“… Nonetheless, the bi-level optimization of such interdependent and holistic formulations is still difficult, particularly when dealing with mixed-integer nonlinear programming…”
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On convex relaxations for quadratically constrained quadratic programming Autor Anstreicher, Kurt M.

“…We consider convex relaxations for the problem of minimizing a (possibly nonconvex) quadratic objective subject to linear and (possibly nonconvex) quadratic…”
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Convex relaxations of non-convex mixed integer quadratically constrained programs: extended formulations Autor Saxena, Anureet, Bonami, Pierre, Lee, Jon

“…This paper addresses the problem of generating strong convex relaxations of Mixed Integer Quadratically Constrained Programming (MIQCP) problems…”
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A Systematic Grey-Box Modeling Methodology via Data Reconciliation and SOS Constrained Regression Autor Pitarch, José, Sala, Antonio, de Prada, César

“…Developing the so-called grey box or hybrid models of limited complexity for process systems is the cornerstone in advanced control and real-time optimization routines…”
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Planning and Scheduling Optimization

“…Although planning and scheduling optimization have been explored in the literature for many years now, it still remains a hot topic in the current scientific…”
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A review of recent advances in global optimization Autor Floudas, C. A., Gounaris, C. E.

“…). It covers the areas of twice continuously differentiable nonlinear optimization, mixed-integer nonlinear optimization, optimization with differential-algebraic models, semi-infinite programming…”
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Monomial-wise optimal separable underestimators for mixed-integer polynomial optimization Autor Buchheim, Christoph, D’Ambrosio, Claudia

“…We introduce a new method for solving box-constrained mixed-integer polynomial problems to global optimality…”
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Nonlinear programming approaches to decoding low-density parity-check codes Autor Kai Yang, Feldman, J., Xiaodong Wang

“… Second, we transform the original LP decoding formulation into a box-constrained quadratic programming form…”
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Performance Optimization for Multicell Multihop Semantic 6G Cloudified Networks Considering Compression, Transmission, and Computation Autor Niu, Haiwen, Wang, Luhan, Lu, Zhaoming, Wen, Xiangming, Marques, Paulo

“…-constrained Internet of Things (IoT) scenarios. Combining semantic communication with classical multicell network architectures, which are commonly employed in long-distance IoT communications, is essential for enabling its large-scale deployment…”
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Topics in Mixed Integer Nonlinear Optimization Autor Gu, Xiaoyi

“… In this thesis, we focus on important elements of nonconvex optimization - including mixed integer linear programming and nonlinear programming, where both theoretical analyses and computational…”
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