An Adaptive Optimization Algorithm Based on Hybrid Power and Multidimensional Update Strategy
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DOI: 10.1109/access.2019.2897639
Abstract: Recently, the adaptive learning rate optimization algorithm has shown excellent performances in the field of deep learning. However, the exponential moving average method can lead to convergence problem in some cases, such as it only… read more here.
Keywords: optimization; convergence; optimization algorithm; adaptive optimization ... See more keywords
Stochastic Adaptive Optimization With Dithers
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DOI: 10.1109/tac.2021.3050438
Abstract: Optimization methods are essential and have been used extensively in a broad spectrum of applications. Most existing literature on optimization algorithms does not consider systems that involve unknown system parameters. This article studies a class… read more here.
Keywords: optimization; convergence; adaptive optimization; optimization algorithms ... See more keywords
Distributed Adaptive Optimization With Weight-Balancing
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DOI: 10.1109/tac.2021.3071651
Abstract: This article addresses the continuous-time distributed optimization of a strictly convex summation-separable cost function with possibly nonconvex local functions over strongly connected digraphs. Distributed optimization methods in the literature require convexity of local functions, or… read more here.
Keywords: optimization; optimization weight; adaptive optimization; weight balancing ... See more keywords
Adaptive Optimization With Decaying Periodic Dither Signals
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DOI: 10.1109/tac.2022.3149907
Abstract: Real-time optimization in cyber–physical network systems with unknown system parameters must integrate optimization and parameter estimation, leading to adaptive optimization problems. Such problems encounter fundamental conflict between optimization and system identifiability. Recently, a new method… read more here.
Keywords: adaptive optimization; periodic dither; dither; decaying periodic ... See more keywords
Adaptive Optimization Algorithm for Resetting Techniques in Obstacle-ridden Environments
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Visualization and Computer Graphics"
DOI: 10.1109/tvcg.2021.3139990
Abstract: Redirected Walking (RDW) algorithms aim to impose several types of gains on users immersed in Virtual Reality and distort their walking paths in the real world, thus enabling them to explore a larger space. Since… read more here.
Keywords: optimization algorithm; adaptive optimization; algorithm resetting; resetting techniques ... See more keywords