Suchergebnisse - Box constrained nonlinear integer programming~

A discrete dynamic convexized method for nonlinear integer programming von 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 von 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 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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Adaptive piecewise linear relaxations for enclosure computations for nonconvex multiobjective mixed-integer quadratically constrained programs von 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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An adaptive multiquadric radial basis function method for expensive black-box mixed-integer nonlinear constrained optimization von 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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SO-MI: A surrogate model algorithm for computationally expensive nonlinear mixed-integer black-box global optimization problems von 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 radial basis algorithm (ARBF) for expensive black-box mixed-integer constrained global optimization von 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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Derivative-free methods for mixed-integer nonsmooth constrained optimization von 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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Bi-level data-driven enterprise-wide optimization with mixed-integer nonlinear scheduling problems von 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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Convex relaxations of non-convex mixed integer quadratically constrained programs: extended formulations von 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 von 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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RBFOpt: an open-source library for black-box optimization with costly function evaluations von 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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A review of recent advances in global optimization von 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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Hybridizing ant colony optimization algorithm with nonlinear programming method for effective optimal design of sewer networks von 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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Monomial-wise optimal separable underestimators for mixed-integer polynomial optimization von 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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On convex relaxations for quadratically constrained quadratic programming von 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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Topics in Mixed Integer Nonlinear Optimization von 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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Nonlinear programming approaches to decoding low-density parity-check codes von 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 von 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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