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Optimal control in pandemics [PDF]
Physical Review E, 2021 During a pandemic, there are conflicting demands arising from public health and economic cost. Lockdowns are a common way of containing infections, but they adversely affect the economy. We study the question of how to minimise the economic damage of a lockdown while still containing infections.
Joseph Samuel, Supurna Sinha
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Optimal Coverage Path Planning for Agricultural Vehicles with Curvature Constraints
Agriculture, 2023 Complete coverage path planning (CCPP) is vital in mobile robot applications. Optimizing CCPP is particularly significant in precision agriculture, where it enhances resource utilization, reduces soil compaction, and boosts crop yields.
Maria Höffmann +2 more
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Algorithms, 2022 The article offers a possible treatment for the numerical research of tasks which require searching for an absolute optimum. This approach is established by employing both globalized nature-inspired methods as well as local descent methods for ...
Pavel Sorokovikov, Alexander Gornov
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Optimally Controlling an Epidemic [PDF]
SSRN Electronic Journal, 2020 We propose a exible model of infectious dynamics with a single endogenous state variable and economic choices. We characterize equilibrium, optimal outcomes, static and dynamic externalities, and prove the following: (i) A lockdown generically is followed by policies to stimulate activity.
Gonzalez-Eiras, Martín, Niepelt, Dirk
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Low Cost Evolutionary Neural Architecture Search (LENAS) Applied to Traffic Forecasting
Machine Learning and Knowledge Extraction, 2023 Traffic forecasting is an important task for transportation engineering as it helps authorities to plan and control traffic flow, detect congestion, and reduce environmental impact.
Daniel Klosa, Christof Büskens
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Remote Sensing, 2023 Obstacle detection is the primary task of the Advanced Driving Assistance System (ADAS). However, it is very difficult to achieve accurate obstacle detection in complex traffic scenes.
Wenyan Ci +5 more
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ON OPTIMALITY OF SINGULAR CONTROLS IN AN OPTIMAL CONTROL PROBLEM [PDF]
Vestnik Tomskogo gosudarstvennogo universiteta. Matematika i mekhanika, 2016 Summary: In this paper, a Moskalenko type optimal control problem is considered. We consider the optimal control problem of minimizing the terminal type functional \[\text{S(u,v)}=\varphi(y(x_1))+\int_{x_0}^{x_1}G(x,z(t_1,x))\,dx,\] under constraints \[ u(t,x)\in U\subset R^r, \quad (t,x)\in D=[t_0,t_1]\times[x_0,x_1], \] \[ v(x)\in V\subset R^q,\quad ...
Mansimov, K. B., Rasulova, Sh. M.
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Power, Control, and Optimization [PDF]
The Scientific World Journal, 2014 التحسين (PCO'2013) (http://ifors.org/web/seventh-global-conference-on-powercontrol-and-optimization-pco-2013/)، الذي عقد في 25-27 أغسطس 2013، في براغ، جمهورية التشيك. تمت تغطية أفضل أوراق هذا المؤتمر. جذبت PCO'2013 مشاركين من العديد من البلدان ومن جميع أنحاء مجتمع PCO في أوروبا وجميع أنحاء العالم، لاجتماع من التبادلات الحية والمناقشات الحية.
Pandian Vasant +3 more
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Mathematics, 2023 This study investigates the problem of time-varying formation tracking (TVFT) control involving event-triggered and switching topological mechanisms.
Xiaoya Chen, Huiying Chen
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Fast Unsupervised Graph Embedding Based on Anchors [PDF]
Jisuanji kexue, 2022 Graph embedding is a widely used method for dimensionality reduction due to its computational effectiveness.The computational complexity of graph embedding method to construct traditional K-Nearest Neighbors (K-NN) graph is at least O(n2d), where n and d
YANG Hui, TAO Li-hong, ZHU Jian-yong, NIE Fei-ping
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