Search Results - SO: Sampling/Simulation-based Search

Online Multi-Contact Motion Replanning for Humanoid Robots with Semantic 3D Voxel Mapping: ExOctomap by Tsuru, Masato, Escande, Adrien, Kumagai, Iori, Murooka, Masaki, Harada, Kensuke

“…) efficiency in semantic accessibility from a position query x∈R3. This strategy reduces the 6D contact pose search to simple 3D grid sampling…”
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A study of all quadrants initial points setting method for design points search using RF algorithm (An efficient method of structural reliability analysis based on a multiple importance sampling simulation) by OKUDA, Shoya, YONEZAWA, Masaaki

“…) in the method of estimating the structural failure probability based on multiple importance sampling simulation…”
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Bayesian optimization of distributed neurodynamical controller models for spatial navigation by Hadzic, Armin, Hwang, Grace M., Zhang, Kechen, Schultz, Kevin M., Monaco, Joseph D.

“… Further, tuning dynamical controllers by manual or grid-based search is often inadequate due to the complexity of objectives, dimensionality of model parameters, and computational costs of simulation-based sampling…”
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Sensor-Oriented Path Planning for Multiregion Surveillance with a Single Lightweight UAV SAR by Li, Jincheng, Chen, Jie, Wang, Pengbo, Li, Chunsheng

“…In the surveillance of interested regions by unmanned aerial vehicle (UAV), system performance relies greatly on the motion control strategy of the UAV and the…”
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Fast Graph Sampling Set Selection Using Gershgorin Disc Alignment by Bai, Yuanchao, Wang, Fen, Cheung, Gene, Nakatsukasa, Yuji, Gao, Wen

“…Graph sampling set selection, where a subset of nodes are chosen to collect samples to reconstruct a smooth graph signal, is a fundamental problem in graph…”
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Robust car sequencing for automotive assembly by Hottenrott, Andreas, Waidner, Leon, Grunow, Martin

“…highlights•Data-driven planning improves notoriously unstable automotive assembly sequences.•Considering vehicle failure probabilities increases sequence…”
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Bayesian Sampling Plan for Weibull Distribution with Type II Hybrid Censoring under Random Decision Function by Belbachir, Hacene, Benahmed, Mohamed

“… To find the optimal sampling plans, a simple algorithm based on the grid search method is described…”
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Optimized Potential of Mean Force Calculations for Standard Binding Free Energies by Buch, Ignasi, Sadiq, S Kashif, De Fabritiis, Gianni

“… Here, we present the results of an extensive search for an optimal method based on an ensemble of umbrella sampling all-atom molecular simulations tested on the phosphorylated tetrapeptide, pYEEI…”
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Multiplicity of grain boundary structures and related energy variations by Hallberg, Håkan, Blixt, Kevin Hult

“… In the present study, phase field crystal (PFC) simulations are employed in a systematic search of GB states based on γ…”
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Solving Large Fault Trees with Importance Sampling and Tree Search by Zhao, Yunfei, O'Leary, Joseph

“… This paper proposes a new algorithm to address this challenge. The new algorithm is based on importance sampling and Monte Carlo tree search…”
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Randomized search methods for solving Markov decision processes and global optimization by Hu, Jiaqiao

“… cannot be obtained in a feasible way, but only simulation samples are available. In the first part of this thesis, we develop two sampling/simulation-based numerical…”
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Operational optimal control of industrial evaporation process using noisy and multimode data by Jiang, Peng, Lu, Shaowen, Chen, Zhuoling

“…Operational optimal control (OOC) aims to maintain the process indexes of an industrial process within the desired range by deciding the control set points…”
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Test sequencing for sequential system diagnosis with precedence constraints and imperfect tests by Wei, Wenchao, Li, Hongbo, Leus, Roel

“…We study sequential system testing with the objective of minimizing the total expected testing costs. The goal is to discover the state of a system that…”
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Taboo-based Monte Carlo Search as a Method to Improve Sampling Efficiency by Choi, Seung Hoon, Hong, Seung Do, Jhon, Mu Shik

“…Taboo-based Monte Carlo search which restricts the sampling of the region near an old configuration, is developed…”
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Camp chain for inverse problems of structures by Liu, Chang

“… of hydraulic structures, and has been largely implemented by network models in recent years. However, network-based models generally demand expensive sampling of numerical simulations and often rely on different search algorithms…”
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Optimizing physical energy functions for protein folding by Fujitsuka, Yoshimi, Takada, Shoji, Luthey-Schulten, Zaida A., Wolynes, Peter G.

“…) molecular dynamics simulations. The energy parameter optimization is based on the energy landscape theory and uses a Monte Carlo search to find a set of parameters that seeks the largest ratio δEs/Δ…”
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Collaborative trajectory planning and transmit resource scheduling for multiple target tracking in distributed radar network system with GTAR by Su, Yang, Cheng, Ting, He, Zishu

“…A reasonable resource management strategy can maximize the sensing performance of radar network system via adaptively controlling the working parameters of…”
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Effectiveness of Website Personalization: Does the Presence of Personalized Recommendations Cannibalize Sampling of Other Items? by Bodoff, David, Ho, Shuk Ying

“…With advances in personalization technologies, websites are increasingly able to customize Web content and provide users with a unique experience. Prior…”
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A Parallel Algorithm Combining Improved-Connect-RRT and JPS with Closed-operation by Zhang, Qianyi, Zhou, Lei, Zhao, Yingli, Cao, Rui, Liu, Jingtai

“… and the completeness of the search based algorithm for planning in complex environment with narrow paths. The simulations demonstrate that GSLST is faster than that of sampling-based and search-based algorithms in big complex environments…”
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Atlantic bluefin tuna in the Gulf of Maine, II: precision of sampling designs in estimating seasonal abundance accounting for tuna behaviour by Newlands, Nathaniel K, Lutcavage, Molly E, Pitcher, Tony J

“… We compare results for random, systematic, stratified, adaptive and spotter-search survey designs, with spotter-search comprising irregular transects that target surfacing schools and known aggregation locations (i.e…”
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