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Mathematics, 2021 Combinatorial optimization problems are often considered NP-hard problems in the field of decision science and the industrial revolution. As a successful transformation to tackle complex dimensional problems, metaheuristic algorithms have been ...
Md Ashikur Rahman +5 more
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On Some Optimization Problems on Permutations
Кібернетика та комп'ютерні технології, 2022 Numerous studies consider combinatorial optimization problems and their solution methods, since a large number of practical problems are described by means of combinatorial optimization models.
Georgy Donets, Vasyl Biletskyi
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A linear time algorithm to compute vertices that belong to all, some and no minimum dominating sets in a tree and its consequences [PDF]
Opuscula MathematicaWe provide a linear time algorithm for determining the sets of vertices that belong to all, some and no minimum dominating sets of a tree, respectively, thus improving the quadratic time algorithm of Benecke and Mynhardt in 2008 [S.
Radosław Ziemann, Paweł Żyliński
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Dynamical System-Based Computational Models for Solving Combinatorial Optimization on Hypergraphs
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, 2023 The intrinsic energy minimization in dynamical systems offers a valuable tool for minimizing the objective functions of computationally challenging problems in combinatorial optimization. However, most prior works have focused on mapping such dynamics to
Mohammad Khairul Bashar +3 more
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An L_1 then L_0 approach to the cardinality constrained mean-variance and mean-CVaR portfolio optimization problems [PDF]
Mathematics and Modeling in FinanceCardinality constrained portfolio optimization problems are widely used portfolio optimization models which incorporate restriction on the number of assets in the portfolio.
Maziar Salahi, Tahereh Khodamoradi
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Advances in Combinatorial Optimization
Discrete Applied Mathematics, 2015 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
MARTELLO, SILVANO, Ries, Bernard
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Multi-scenario Load Combinatorial Optimization Based on Improved Greedy Algorithm
Zhongguo dianli, 2020 With the gradual formation of sales side market competition pattern, the electricity companies can improve the safety level of power grid and the quality of power supply through load combinatorial optimization to improve the load rate and reduce the cost
Yan WANG +4 more
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Parameterized shifted combinatorial optimization [PDF]
Journal of Computer and System Sciences, 2017 Shifted combinatorial optimization is a new nonlinear optimization framework which is a broad extension of standard combinatorial optimization, involving the choice of several feasible solutions at a time. This framework captures well studied and diverse problems ranging from so-called vulnerability problems to sharing and partitioning problems.
Jakub Gajarský +3 more
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Gels, 2016 Combinatorial method/high throughput strategies, which have long been used in the pharmaceutical industry, have recently been applied to hydrogel optimization for tissue engineering applications.
Laura A. Smith Callahan
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Bulk-Robust combinatorial optimization [PDF]
Mathematical Programming, 2014 Mathematical Programming, 149 (1-2)
Adjiashvili, David +2 more
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