Suchergebnisse - Adaptive randomized algorithms

Randomized block-coordinate adaptive algorithms for nonconvex optimization problems von Zhou, Yangfan, Huang, Kaizhu, Li, Jiang, Cheng, Cheng, Wang, Xuguang, Hussian, Amir, Liu, Xin

“… To reduce the computation cost for optimizers on nonconvex optimization problems typically seen in deep learning, this work proposes a randomized block-coordinate adaptive optimization algorithm …”
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Randomized algorithms for the approximations of Tucker and the tensor train decompositions von Che, Maolin, Wei, Yimin

“… The main purpose of this paper is to design adaptive randomized algorithms for computing the approximate tensor decompositions …”
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Exploring the effectiveness of adaptive randomized sine cosine algorithm in wind integrated scenario based power system optimization with FACTS devices von Agrawal, Sunilkumar P., Jangir, Pradeep, Arpita, Pandya, Sundaram B., Parmar, Anil, Hourani, Ahmad O., Trivedi, Bhargavi Indrajit, Khishe, Mohammad

“… In this study, the Adaptive Randomized Sine Cosine Algorithm (ARSCA) is introduced to solve the problem of optimal placement and settings of Flexible AC Transmission System (FACTS) devices …”
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Randomized distributed online algorithms against adaptive offline adversaries von Boyar, Joan, Ellen, Faith, Larsen, Kim S.

“… In the sequential setting, a decades-old fundamental result in online algorithms states that if there is a c-competitive randomized online algorithm against an adaptive, offline adversary …”
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DP-RBAdaBound: A differentially private randomized block-coordinate adaptive gradient algorithm for training deep neural networks von Wu, Qingtao, Li, Meiwen, Zhu, Junlong, Zheng, Ruijuan, Xing, Ling, Zhang, Mingchuan

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Optimal pavement maintenance programs based on a hybrid Greedy Randomized Adaptive Search Procedure Algorithm von Yepes, Víctor, Torres-Machi, Cristina, Chamorro, Alondra, Pellicer, Eugenio

“… ) of maintenance programs. This paper describes an optimization tool based on a hybrid Greedy Randomized Adaptive Search Procedure (GRASP …”
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Greedy randomized adaptive search and benders decomposition algorithms to solve the distributed no-idle permutation flowshop scheduling problem von Hamzadayı, Alper, Van, Münevver Günay

“… •GRASP algorithm is developed to solve the problem.•A hybrid version of Benders decomposition algorithm is proposed …”
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Minimizing Makespan in a Permutation Flow Shop Environment: Comparison of Scatter Search, Genetic Algorithm and Greedy Randomized Adaptive Search Procedures von Çİçeklİ, Ural Gökay, Demİrcan Keskİn, Fatma, Kocamaz, Murat

“… ), Genetic Algorithm (GA), and Greedy Randomized Adaptive Search Procedures (GRASP) for minimizing makespan in a permutation flow shop environment …”
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An adaptive and diversified vehicle routing approach to reducing the security risk of cash‐in‐transit operations von Bozkaya, Burcin, Salman, F. Sibel, Telciler, Kaan

“… We consider the route optimization problem of transporting valuables in cash‐in‐transit (CIT) operations. The problem arises as a rich variant of the …”
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An Adaptive Search Algorithm for Multiplicity Dynamic Flexible Job Shop Scheduling with New Order Arrivals von Ding, Linshan, Guan, Zailin, Luo, Dan, Rauf, Mudassar, Fang, Weikang

“… To address this problem, we incorporate the fluid model to propose a fluid randomized adaptive search (FRAS …”
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A Biogeography-Based Optimization with a Greedy Randomized Adaptive Search Procedure and the 2-Opt Algorithm for the Traveling Salesman Problem von Tsai, Cheng-Hsiung, Lin, Yu-Da, Yang, Cheng-Hong, Wang, Chien-Kun, Chiang, Li-Chun, Chiang, Po-Jui

“… ). The improved method is comprised of a greedy randomized adaptive search procedure, the 2-opt algorithm, and G2BBO …”
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An Adaptive Randomized Orthogonal Matching Pursuit Algorithm With Sliding Window for Rolling Bearing Fault Diagnosis von Li, Jimeng, Li, Ming, Yao, Xifeng, Wang, Hui

“… As an algorithm for solving the sparse model, randomized orthogonal matching pursuit (RandOMP) algorithm shows excellent performance in impulse features extraction …”
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Sensitivity Analysis of Structural Dynamic Behavior Based on the Sparse Polynomial Chaos Expansion and Material Point Method von Li, Wenpeng, Liu, Zhenghe, Ma, Yujing, Liu, Weisong, Meng, Zhuxuan, Ma, Ji, Nguyen, Vinh Phu

“… An adaptive randomized greedy algorithm is employed to construct a sparse polynomial chaos expansion model with a fixed order, effectively balancing the accuracy and computational efficiency of the surrogate model …”
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Using multivariate adaptive regression splines and extremely randomized trees algorithms to predict dust events frequency around an international wetland and prioritize its drivers von Ebrahimi-Khusfi, Zohre, Nafarzadegan, Ali Reza, Khosroshahi, Mohammad

“… This study aimed to evaluate the performance of multivariate adaptive regression splines (MARS …”
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Bounds for the Number of Tests in Non-Adaptive Randomized Algorithms for Group Testing von Bshouty, Nader H, Haddad, George, Haddad-Zaknoon, Catherine A

“… We study the group testing problem with non-adaptive randomized algorithms. Several models have been discussed in the literature to determine how to randomly choose the tests. For a model \({\cal M}\), let \(m_{\cal M}(n,d …”
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Non-Adaptive Randomized Algorithm for Group Testing von Bshouty, Nader H, Diab, Nuha, Kawar, Shada R, Shahla, Robert J

“… We study the problem of group testing with a non-adaptive randomized algorithm in the random incidence design (RID …”
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An Improved Adam Optimization Algorithm Combining Adaptive Coefficients and Composite Gradients Based on Randomized Block Coordinate Descent von Liu, Miaomiao, Yao, Dan, Liu, Zhigang, Guo, Jingfeng, Chen, Jing

“… An improved Adam optimization algorithm combining adaptive coefficients and composite gradients based on randomized block coordinate descent is proposed to address issues of the Adam algorithm …”
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Research on the Restoration of Abnormal Flights Based on Improved Greedy Randomized Adaptive Search Procedures Algorithm von Bi, Jun, Cheng, Yuhang, Wang, Fujun, Yang, Hui

“… Because the greedy randomized adaptive search algorithm only considers the "cancellation" strategy when constructing the initial solution, it proposes a new strategy in the process of constructing …”
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Refining an algorithm-powered just-in-time adaptive weight control intervention: A randomized controlled trial evaluating model performance and behavioral outcomes von Goldstein, Stephanie P, Thomas, J Graham, Foster, Gary D, Turner-McGrievy, Gabrielle, Butryn, Meghan L, Herbert, James D, Martin, Gerald J, Forman, Evan M

“… However, this produced substantial missing data, which could reduce algorithm performance …”
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Improved lower bound for estimating the number of defective items von Bshouty, Nader H.

“… For any given constant j , any non-adaptive randomized algorithm that, with probability at least 2/3, estimates the number of defective items …”
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