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检索条件"主题词=Optimization Algorithms"
4001 条 记 录,以下是821-830 订阅
排序:
DM-SARAH: A Variance Reduction optimization Algorithm for Machine Learning Systems
DM-SARAH: A Variance Reduction Optimization Algorithm for Ma...
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2024 IEEE Global Communications Conference, GLOBECOM 2024
作者: Li, Rengang Yan, Ruidong Guo, Zhenhua Qiu, Zhiyong Zhao, Yaqian Wang, Yanwei Tsinghua University Department of Computer Science and Technology Beijing China Inspur Electronic Information Industry Co. Ltd Beijing China
Nowadays, the variance reduction (VR) technique is used to improve the performance of gradient-type algorithms in machine learning and deep learning. However, some existing VR algorithms require unrealistic assumption... 详细信息
来源: 评论
Many-Objective Evolutionary optimization Algorithm based on the Conflict Measurement Grouping Strategy  4
Many-Objective Evolutionary Optimization Algorithm based on ...
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4th International Conference on Artificial Intelligence, Robotics, and Communication, ICAIRC 2024
作者: Zhang, Jianzhong Shi, Xuhua Ningbo University Faculty of Electrical Engineering and Computer Science Ningbo China
In order to address the convergence issues faced by traditional multi-objective optimization algorithms as the number of objectives increases, this paper proposes a new optimization algorithm, MaOEA-SPC, based on the ... 详细信息
来源: 评论
Random Exploration in Bayesian optimization: Order-Optimal Regret and Computational Efficiency  41
Random Exploration in Bayesian Optimization: Order-Optimal R...
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41st International Conference on Machine Learning, ICML 2024
作者: Salgia, Sudeep Vakili, Sattar Zhao, Qing Department of Electrical and Computer Engineering Carnegie Mellon University PittsburghPA United States MediaTek Research Cambridge United Kingdom Department of Electrical and Computer Engineering Cornell University IthacaNY United States
We consider Bayesian optimization using Gaussian Process models, also referred to as kernel-based bandit optimization. We study the methodology of exploring the domain using random samples drawn from a distribution. W... 详细信息
来源: 评论
Distance-Based Subset Selection With a Knee Point for Multi-Objective optimization  13
Distance-Based Subset Selection With a Knee Point for Multi-...
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Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2024
作者: Pang, Lie Meng Ishibuchi, Hisao Southern University of Science and Technology Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation Department of Computer Science and Engineering Shenzhen518055 China
Recently, the use of an unbounded external archive in the design of evolutionary multi-objective optimization (EMO) algorithms has received increasing attention. An important component in the use of an unbounded exter... 详细信息
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Design of nearly linear phase IIR fractional order digital differentiators using Iterative Convex optimization algorithm
Design of nearly linear phase IIR fractional order digital d...
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2024 China Automation Congress, CAC 2024
作者: Chen, Juan Wei, Xuewen Meng, Hailong School of Mathematics and Statistics Qilu University of Technology Shandong Academy of Sciences Jinan China
This paper introduces a methodology for the design of IIR fractional-order digital differentiators with near-linear phase properties. The primary objective is to minimize the maximum phase deviation from the ideal lin... 详细信息
来源: 评论
Similar Locality Based Transfer Evolutionary optimization for Minimalistic Attacks  13
Similar Locality Based Transfer Evolutionary Optimization fo...
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13th IEEE Congress on Evolutionary Computation, CEC 2024
作者: Ma, Wenqiang Hau, Yaqing Yu, Hua Tong, Xiangrong Zhu, Zexuan Zhang, Qiang School of Computer Science and Technology Dalian University of Technology Dalian116024 China School of Computer and Control Engineering Yantai University Yantai264005 China College of Computer Science and Software Engineering Shenzhen University Shenzhen518060 China
Deep neural networks are powerful and popular learning models;however, recent studies have shown that deep neural network-based policies are susceptible to deception by adversarial attacks. A minimalistic attack is a ... 详细信息
来源: 评论
Obtaining the Dominating Set in Graphs with the Invasive Weed optimization Algorithm  8
Obtaining the Dominating Set in Graphs with the Invasive Wee...
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8th International Artificial Intelligence and Data Processing Symposium, IDAP 2024
作者: Karci, Seyda Baydogmus, Gozde Karatas Marmara University Computer Engineering Department İstanbul Turkey
The minimum dominant set problem in graphs is a well-known NP-hard problem that requires the use of heuristics to obtain approximate solutions due to its computational complexity. Among the many heuristic approaches f... 详细信息
来源: 评论
DV-Hop localization algorithm based on improved spider wasp optimization algorithm  6
DV-Hop localization algorithm based on improved spider wasp ...
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6th IEEE International Conference on Civil Aviation Safety and Information Technology, ICCASIT 2024
作者: Wang, Xiang Wu, Zhenjie Wang, Gang Jiang, Chengzhe Jilin Institute of Chemical Technology Jilin China Beihua University Jilin China
In the realm of industrial production, wireless sensor networks (WSNs) have seen extensive application. This paper addresses the significant localization errors associated with traditional DV-Hop algorithms by proposi... 详细信息
来源: 评论
Distribution Network Reconfiguration Based on Improved Particle Swarm optimization Algorithm  3
Distribution Network Reconfiguration Based on Improved Parti...
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3rd International Conference on Energy, Power and Electrical Technology, ICEPET 2024
作者: Li, Tengshuo Ge, Jie Zhu, Ruijin Tibet Agricultural and Animal Husbandry University Bayi Tibet Nyingchi China State Grid Tibet Power Company Ultra High Voltage Branch Tibet Nyingchi China
In response to the challenges posed by the significant integration of distributed energy resources on distribution network reconfiguration, an improved particle swarm optimization algorithm is proposed in this paper. ... 详细信息
来源: 评论
IMPLEMENTATION OF NETWORK optimization AND RESILIENCY ANALYSIS TOWARDS MISSION ASSURANCE
IMPLEMENTATION OF NETWORK OPTIMIZATION AND RESILIENCY ANALYS...
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ASME 2024 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2024
作者: Scott, Daniel J. Jensen, David C. University of Arkansas FayettevilleAR United States
Network optimization and resiliency analysis are pivotal domains revealing network functionality, strength, and resilience. Despite their promise, these methodologies often encounter integration limitations, scalabili... 详细信息
来源: 评论