Results 261 to 270 of about 131,030 (317)
Energy Efficiency Maximization for ME-IRS-Enabled Secure Communications. [PDF]
Entropy (Basel)Liu C, Dong L, Li Y, Cheng W.
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Reinforcement learning-controlled differential evolution with L-BFGS refinements. [PDF]
PLoS OneCao Y, Wu B, Wen M.
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A BIM-simulated annealing approach to optimize cost, size, and environmental impact of building water networks. [PDF]
Sci RepCortez-Lara P +2 more
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A lightweight metaheuristic-driven adaptive PID approach for nonlinear conical tank regulation. [PDF]
Sci RepRajaram K, Kathirvel M, Subburathinam K.
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Optimization of infectious disease intervention measures using reinforcement learning with UK COVID-19 epidemic data. [PDF]
Sci RepZhang B, Chen Y, Li H, Zu Z.
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Stochastic Discrete Optimization
SIAM Journal on Control and Optimization, 1992Summary: A stochastic search method is proposed for finding a global solution to the stochastic discrete optimization problem in which the objective function must be estimated by Monte Carlo simulation. Although there are many practical problems of this type in the fields of manufacturing engineering, operations research, and management science, there ...
Yan, Di, Mukai, H.
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Optimal Assumptions for Discreteness
Archive for Rational Mechanics and Analysis, 2012The authors disprove a natural conjecture concerning the topological properties of Sobolev maps in Euclidean spaces. Consider a map \(f:\Omega\to\mathbb R^n\) of Sobolev class \(W^{1,n}\), where \(\Omega\) is a domain in \(\mathbb R^n\). If there exists a finite function \(K\) such that \(\|Df(x)\|^n\leq K(x)\det Df(x)\) for a.e.
Hencl, Stanislav, Rajala, Kai
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On discrete optimization with ordering
Annals of Operations Research, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Elena Fernández 0001 +2 more
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Ant Algorithms for Discrete Optimization
Artificial Life, 1999This article presents an overview of recent work on ant algorithms, that is, algorithms for discrete optimization that took inspiration from the observation of ant colonies' foraging behavior, and introduces the ant colony optimization (ACO) metaheuristic.
Marco Dorigo +2 more
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Discrete Multivariate Optimal Control
Journal of Optimization Theory and Applications, 2018zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Andreea Bejenaru, Monica Pîrvan
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