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检索条件"主题词=Optimization algorithms"
4003 条 记 录,以下是811-820 订阅
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optimization ALGORITHM FOR COMMUNICATION ENERGY CONSUMPTION OF ENERGY METERS IN POWER LOAD MANAGEMENT SYSTEM  10
OPTIMIZATION ALGORITHM FOR COMMUNICATION ENERGY CONSUMPTION ...
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10th International Symposium on Test Automation and Instrumentation, ISTAI 2024
作者: Li, Pengcheng Li, Tao Xu, Hongwei Wang, Junrong Yang, Jing Measurement Center of Guizhou Power Grid Co. Ltd. Guiyang China
The new power load management system, as a modern power monitoring system in the context of rapid development of science and technology, can effectively enhance the communication function and detection performance of ... 详细信息
来源: 评论
Research on UAV Ad Hoc Network Coverage optimization Strategy  24
Research on UAV Ad Hoc Network Coverage Optimization Strateg...
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4th International Conference on Artificial Intelligence, Automation and High Performance Computing, AIAHPC 2024
作者: Wang, Yijun Chen, Jiaqi Zhuang, Dawei School of Electronic Information Engineering Changchun University of Science and Technology China
In order to improve the coverage of UAV AD hoc network, reduce the loss of UAV in operation and the number of UAV involved, a network coverage optimization algorithm based on improved moth extinguishing algorithm is p... 详细信息
来源: 评论
Improving Proximal Policy optimization with Hellinger Divergence  2
Improving Proximal Policy Optimization with Hellinger Diverg...
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2nd International Conference on Algorithm, Image Processing and Machine Vision, AIPMV 2024
作者: Zhou, Jiayi Feng, Jixing Chang, Zhiming Shandong University at Weihai School of Mathematics and Statistics Shandong Weihai China
Proximal policy optimization is a reinforcement learning algorithm widely used for training policies. Its goal is to learn how to make decisions through interaction with the environment to maximize some kind of cumula... 详细信息
来源: 评论
Decomposition of Difficulties in Complex optimization Problems using a Bilevel Approach  13
Decomposition of Difficulties in Complex Optimization Proble...
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13th IEEE Congress on Evolutionary Computation, CEC 2024
作者: Sinha, Ankur Pujara, Dhaval Singh, Hemant Kumar Centre for Data Science and Ai Indian Institute of Management Gujarat Ahmedabad380015 India School of Engineering and Technology The University of New South Wales CanberraACT2610 Australia
Practical optimization problems may contain differ-ent kinds of difficulties that are often not tractable if one relies on a particular optimization method. Different optimization approaches offer different strengths ... 详细信息
来源: 评论
optimization of Three-Stage Heat Exchanger Design Using Modified Differential Evolution Algorithm  1
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2nd Biennial International Symposium on Fluids and Thermal Engineering, FLUTE 2023
作者: Gawai, I.R. Lalwani, D.I. SVNIT Gujarat Surat395007 India
The size plays a decisive part in the selection of a heat exchanger. A heat exchanger with a smaller size with equal or higher thermal performance is always desirable. In this paper, the amended differential evolution... 详细信息
来源: 评论
Enabling Dual Subpopulations and Clustering for Multimodal Multiobjective optimization  13
Enabling Dual Subpopulations and Clustering for Multimodal M...
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13th IEEE Congress on Evolutionary Computation, CEC 2024
作者: Su, Yu-Cheng Chen, Yi-Ruei Ting, Chuan-Kang National Tsing Hua University Department of Power Mechanical Engineering Hsinchu30013 Taiwan National Tsing Hua University Department of Computer Science Hsinchu30013 Taiwan
Multimodal multiobjective optimization problems (MMOPs) present a specific category of multiobjective problems. Unlike conventional multiobjective problems where Pareto opti-mal solutions gather in one or few regions ... 详细信息
来源: 评论
optimization of Motion Distribution for Modular Robots Based on Grey Wolf Algorithm
Optimization of Motion Distribution for Modular Robots Based...
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2024 IEEE International Conference on Robotics and Biomimetics, ROBIO 2024
作者: Yu, Longchang Chen, Gang Liang, Zhengyu Fei, Junting School of Automation Beijing University of Posts and Telecommunications Beijing China
Modular robots are limited in terms of working duration and performance due to the short-comings of existing motion planning algorithms in energy consumption allocation. This paper proposes an optimization strategy fo... 详细信息
来源: 评论
Hybrid optimization Algorithm of Differential Evolution Algorithm and Artificial Bee Colony Algorithm  6
Hybrid Optimization Algorithm of Differential Evolution Algo...
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6th International Conference on Communications, Information System and Computer Engineering, CISCE 2024
作者: Song, Xiaoyu Zhu, Yanlin Zhao, Ming School of Computer Science and Engineering Shenyang Jianzhu University Shenyang China
In order to make full use of the advantages of artificial bee colony algorithm (ABC) and differential evolution algorithm (DE), a hybrid optimization algorithm based on differential evolution algorithm and artificial ... 详细信息
来源: 评论
Novel Iteratively Preconditioned Gradient-Descent Algorithm via Successive Over-Relaxation Formulation
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IEEE CONTROL SYSTEMS LETTERS 2024年 8卷 3105-3110页
作者: Liu, Tianchen Chakrabarti, Kushal Chopra, Nikhil Univ Maryland Coll Pk Dept Mech Engn College Pk MD 20742 USA Tata Consultancy Serv Res Div Data & Decis Sci Mumbai 400607 India
We devise a novel quasi-Newton algorithm for solving unconstrained convex optimization problems. The proposed algorithm is built on our previous framework of the iteratively preconditioned gradient-descent (IPG) algor... 详细信息
来源: 评论
Application of Multi-objective optimization Algorithm in Joint Operation of Sluice Groups
Application of Multi-objective Optimization Algorithm in Joi...
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2024 International Conference on Telecommunications and Power Electronics, TELEPE 2024
作者: Chen, Taiwu Pan, Zhifu Xu, Guanzhong Peng, Chen Liu, Erjun Lianyungang Linhong Water Conservancy Project Management Office Jiangsu Lianyungang222006 China Lianyungang Urban Water Engineering Management Office Jiangsu Lianyungang222005 China Guanyun County Dovetail Gate Management Guanyun Jiangsu222200 China
The purpose of this study is to construct a joint dispatching model of sluice groups by using multi-objective optimization algorithm, and its effectiveness is verified by simulation experiments. Methodologically, firs... 详细信息
来源: 评论