Results 31 to 40 of about 9,520,135 (306)
Green resource allocation for mobile edge computing
Digital Communications and Networks, 2023 We investigate the green resource allocation to minimize the energy consumption of the users in mobile edge computing systems, where task offloading decisions, transmit power, and computation resource allocation are jointly optimized.
Anqi Meng +4 more
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Robust Optimization for Non-Convex Objectives
CoRR, 2017 We consider robust optimization problems, where the goal is to optimize in the worst case over a class of objective functions. We develop a reduction from robust improper optimization to Bayesian optimization: given an oracle that returns $α$-approximate solutions for distributions over objectives, we compute a distribution over solutions that is $α ...
Robert S. Chen +3 more
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Bayesian Optimization Based Efficient Layer Sharing for Incremental Learning
Applied Sciences, 2021 Incremental learning is a methodology that continuously uses the sequential input data to extend the existing network’s knowledge. The layer sharing algorithm is one of the representative methods which leverages general knowledge by sharing some initial ...
Bomi Kim, Taehyeon Kim, Yoonsik Choe
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On-line Non-Convex Constrained Optimization
CoRR, 2019 Time-varying non-convex continuous-valued non-linear constrained optimization is a fundamental problem. We study conditions wherein a momentum-like regularising term allow for the tracking of local optima by considering an ordinary differential equation (ODE). We then derive an efficient algorithm based on a predictor-corrector method, to track the ODE
Olivier Massicot, Jakub Marecek
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GloptiNets: Scalable Non-Convex Optimization with Certificates
Advances in Neural Information Processing Systems 36, 2023 We present a novel approach to non-convex optimization with certificates, which handles smooth functions on the hypercube or on the torus. Unlike traditional methods that rely on algebraic properties, our algorithm exploits the regularity of the target function intrinsic in the decay of its Fourier spectrum. By defining a tractable family of models, we
Beugnot, Gaspard +2 more
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RBCC Mid-section Combined Trajectory Optimization Method Based on Particle Swarm-Pseudospectral Convex Optimization [PDF]
Hangkong bingqiIn order to solve the problem of combined trajectory optimization of RBCC mid-section, a nested optimization method based on particle swarm-pseudospectral convex optimization is proposed.
Yang Yuxuan, Fei Wanghua, Liu Haili, Wang Peichen, Yan Xunliang
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Sparse recovery by non-convex optimization – instance optimality
Applied and Computational Harmonic Analysis, 2010 In this note, we address the theoretical properties of $Δ_p$, a class of compressed sensing decoders that rely on $\ell^p$ minimization with ...
Rayan Saab, Özgür Yilmaz
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Beam Allocation and Power Optimization for Energy-Efficiency in Multiuser mmWave Massive MIMO System
Sensors, 2021 This paper studies beam allocation and power optimization scheme to decrease the hardware cost and downlink power consumption of a multiuser millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) system.
Saidiwaerdi Maimaiti +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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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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