Výsledky vyhledávání - Gradient Algorithm constrained optimization

A new nonmonotone spectral projected gradient algorithm for box-constrained optimization problems in m×n real matrix space with application in image clustering Autor Li, Ting, Wan, Zhong, Guo, Jie

“… Then, by analyzing and exploiting properties of this rule, a new nonmonotone spectral projected gradient algorithm is developed to solve the box-constrained optimization problems in the matrix space…”
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SPGD: Search Party Gradient Descent Algorithm, a Simple Gradient-Based Parallel Algorithm for Bound-Constrained Optimization Autor Syed Shahul Hameed, A., Rajagopalan, Narendran

“…Nature-inspired metaheuristic algorithms remain a strong trend in optimization. Human-inspired optimization algorithms should be more intuitive and relatable…”
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Distributed gradient algorithm for constrained optimization with application to load sharing in power systems Autor Yi, Peng, Hong, Yiguang, Liu, Feng

“…In this paper, a distributed constrained optimization problem is discussed to achieve the optimal point of the sum of agents…”
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A Dai–Yuan conjugate gradient algorithm of linear equation constrained optimization approach for optimal robust controller of bipedal robots Autor Wang, M, Sun, ZB, Zhang, BC, Pang, ZX, Jiang, DW

“…In this article, combined rapidly exponential control Lyapunov function with hybrid zero dynamics, a sufficiently descent projected Dai–Yuan approach is…”
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Distributed Randomized Gradient-Free Mirror Descent Algorithm for Constrained Optimization Autor Yu, Zhan, Ho, Daniel W. C., Yuan, Deming

“…This article is concerned with the multiagent optimization problem. A distributed randomized gradient-free mirror descent (DRGFMD…”
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An Accelerated Distributed Gradient-Based Algorithm for Constrained Optimization With Application to Economic Dispatch in a Large-Scale Power System Autor Guo, Fanghong, Li, Guoqi, Wen, Changyun, Wang, Lei, Meng, Ziyang

“… To solve this problem, a new accelerated distributed gradient-based algorithm is proposed, which is inspired by the "momentum" phenomena in nature and aims to accelerate the convergence speed…”
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GGA: A modified genetic algorithm with gradient-based local search for solving constrained optimization problems Autor D’Angelo, Gianni, Palmieri, Francesco

“…In the last few decades, genetic algorithms (GAs) demonstrated to be an effective approach for solving real-world optimization problems…”
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Distributed Fenchel Dual Gradient Algorithm for Constrained Convex Optimization Over Digraphs Autor Zhu, Yanan, Yu, Wenwu, Wen, Guanghui

“…) algorithm, a continuous-time method for solving distributed convex optimization problems with local set constraints over digraphs…”
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Relaxed gradient projection algorithm for constrained node-based shape optimization Autor Antonau, Ihar, Hojjat, Majid, Bletzinger, Kai-Uwe

“… Robust optimization algorithms are required. The methods of feasible directions are widely used in practical optimization problems and know to be quite robust…”
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Decentralized Dual Proximal Gradient Algorithms for Non-Smooth Constrained Composite Optimization Problems Autor Li, Huaqing, Hu, Jinhui, Ran, Liang, Wang, Zheng, Lu, Qingguo, Du, Zhenyuan, Huang, Tingwen

“…Decentralized dual methods play significant roles in large-scale optimization, which effectively resolve many constrained optimization problems in machine learning and power systems…”
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An alternating structure-adapted Bregman proximal gradient descent algorithm for constrained nonconvex nonsmooth optimization problems and its inertial variant Autor Gao, Xue, Cai, Xingju, Wang, Xiangfeng, Han, Deren

“…) gradient descent algorithm, where the geometry of the abstract set and the function is captured by employing generalized Bregman function…”
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Sufficient Descent Polak-Ribiere-Polyak Conjugate Gradient Algorithm for Large-Scale Box-Constrained Optimization Autor Wang, Qiuyu, Che, Yingtao

“…A practical algorithm for solving large-scale box-constrained optimization problems is developed, analyzed, and tested…”
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A Distributed Nesterov-Like Gradient Tracking Algorithm for Composite Constrained Optimization Autor Zheng, Lifeng, Li, Huaqing, Li, Jun, Wang, Zheng, Lu, Qingguo, Shi, Yawei, Wang, Huiwei, Dong, Tao, Ji, Lianghao, Xia, Dawen

“…This paper focuses on the constrained optimization problem where the objective function is composed of smooth (possibly nonconvex…”
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Solving constrained nonsmooth group sparse optimization via group Capped-ℓ1 relaxation and group smoothing proximal gradient algorithm Autor Zhang, Xian, Peng, Dingtao

“…In this paper, we study the constrained group sparse regularization optimization problem, where the loss function is convex but nonsmooth, and the penalty term is the group sparsity which is then…”
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MultiSQP-GS: a sequential quadratic programming algorithm via gradient sampling for nonsmooth constrained multiobjective optimization Autor Rashidi, Mehri, Soleimani-damaneh, Majid

“…In this paper, we propose a method for solving constrained nonsmooth multiobjective optimization problems which is based on a Sequential Quadratic Programming (SQP…”
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Employing a generalized reduced gradient algorithm method to form combinations of steel price forecasts generated separately by ARIMA-TF and ANN models Autor Terregrossa, Salvatore Joseph, Şener, Uğur

“… A generalized reduced gradient algorithm (GRG) method is employed to estimate the component model forecast weights, which is a…”
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A gradient descent akin method for constrained optimization: algorithms and applications Autor Chen, Long, Bletzinger, Kai-Uwe, Gauger, Nicolas R., Ye, Yinyu

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Controller optimization using data-driven constrained bat algorithm with gradient-based depth-first search strategy Autor Li, Hu, Song, Bao, Tang, Xiaoqi, Xie, Yuanlong, Zhou, Xiangdong

“…). In this paper, we propose a data-driven constrained bat algorithm via a gradient-based depth-first search (GDFS) strategy…”
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A gradient-based algorithm for non-smooth constrained optimization problems governed by discrete-time nonlinear equations with application to long-term hydrothermal optimal scheduling control Autor Wu, Xiang, Zhang, Kanjian, Cheng, Ming

“… optimization problem. Next, a gradient-based algorithm with a novel line search is proposed for solving this smooth unconstrained optimization problem, and this line…”
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Adaptive initialization LSHADE algorithm enhanced with gradient-based repair for real-world constrained optimization Autor Tang, Huy, Lee, Jaehong

“…) for solving constrained optimization problems. The novel contributions are in the initialization phase…”
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