Results 31 to 40 of about 24,619 (260)
Applied Sciences, 2020 With the joint optimization of the electricity−gas−heating system (EGHS) attracting more and more attention, a distributed optimized scheduling framework for EGHS based on an improved alternating direction method of multipliers (ADMM ...
Hanxin Zhu +3 more
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Joint Transceiver Optimization for Multiuser Multi-Antenna Relay Systems With Energy Harvesting
IEEE Access, 2019 In this paper, a multiuser multi-antenna relay system with wireless power transfer is investigated, where the relay node harvests energy from the radio frequency signal sent from the source node and utilizes the harvested energy to forward the ...
Jinlong Wang +4 more
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Online Non-convex Optimization with Long-term Non-convex Constraints
, 2023 A novel Follow-the-Perturbed-Leader type algorithm is proposed and analyzed for solving general long-term constrained optimization problems in an online manner, where the target and constraint functions are oblivious adversarially generated and not necessarily convex. The algorithm is based on Lagrangian reformulation and innovatively integrates random
Pan, Shijie, Xu, Jianyu, Huang, Wenjie
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Sensors, 2013 Deployment is a critical issue affecting the quality of service of camera networks. The deployment aims at adopting the least number of cameras to cover the whole scene, which may have obstacles to occlude the line of sight, with expected observation ...
Guangming Shi +3 more
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IEEE Access, 2021 This paper discusses the problem of fault estimation for two-dimensional (2-D) Fornasini-Marchesini (FM) dynamical systems. The objective of this paper is to design a fault estimation filter to reconstruct the characteristics of faults in low-frequency ...
Xiao-Xue Wu, Yunxia Xia, He-Ping Liu
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Non-convex scenario optimization
Mathematical ProgrammingAbstract Scenario optimization is an approach to data-driven decision-making that has been introduced some fifteen years ago and has ever since then grown fast. Its most remarkable feature is that it blends the heuristic nature of data-driven methods with a rigorous theory that allows one to gain factual, reliable, insight in the
Simone Garatti, Marco C. Campi
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Research on Energy Efficiency of Wireless Powered Communication Network in Cognitive Radio Environment [PDF]
Jisuanji gongcheng, 2019 In order to improve the energy efficiency of Wireless Powered Communication Network(WPCN),a multiple signal source acquisition model in cognitive radio environment is established.Because the model optimization problem is a non-convex problem,it is ...
FENG Gang,QIN Xizhong,JIA Zhenhong,NIU Hongmei,WANG Zhehui
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Sample-and-Bound for Non-convex Optimization
Proceedings of the AAAI Conference on Artificial IntelligenceStandard approaches for global optimization of non-convex functions, such as branch-and-bound, maintain partition trees to systematically prune the domain. The tree size grows exponentially in the number of dimensions. We propose new sampling-based methods for non-convex optimization that adapts Monte Carlo Tree Search (MCTS) to improve efficiency ...
Yaoguang Zhai, Zhizhen Qin, Sicun Gao
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Generalized Majorization-Minimization for Non-Convex Optimization [PDF]
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019 Majorization-Minimization (MM) algorithms optimize an objective function by iteratively minimizing its majorizing surrogate and offer attractively fast convergence rate for convex problems. However, their convergence behaviors for non-convex problems remain unclear.
Hu Zhang 0005 +3 more
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RSS-TOA based localization algorithm in non-line-of-sight environment
Dianxin kexue, 2019 The existence of non-line-of-sight (NLOS) error can degrade the positioning performance in wireless sensor network localization system,especially in indoor localization.To overcome the localization error caused by NLOS propagation,a localization ...
Zhigang LU +4 more
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