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检索条件"主题词=Optimization algorithms"
4001 条 记 录,以下是671-680 订阅
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Optimized Design of Sparse Spherical Conformal Array Based on optimization Algorithm  12
Optimized Design of Sparse Spherical Conformal Array Based o...
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12th IEEE Asia-Pacific Conference on Antennas and Propagation, APCAP 2024
作者: Yang, Guohui Xu, Shenjie Zhang, Kuang Zhu, Wenliang Li, Yingsong Harbin Institute of Technology China Noncommissioned Officer School of the Army Artillery and Air Defense Academy China Anhui University China
This article proposes two optimization schemes for the position of elements in sparse circular spherical array with low sidelobes based on genetic algorithm. The first optimization scheme is to first optimize the radi... 详细信息
来源: 评论
Forgetting-Factor Regret for Distributed Online optimization  43
Forgetting-Factor Regret for Distributed Online Optimization
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43rd Chinese Control Conference, CCC 2024
作者: Li, Jianjun Mo, Lipo Shang, Juan Zuo, Min Beijing Technology and Business University School of Mathematics and Statistics Beijing100048 China Beijing Technology and Business University School of Computer and Artifical Intelligance Beijing100048 China
This paper investigates the online distributed optimization problem. First, we propose a novel gradient descent algorithm without a central node under a multi-agent network. Second, the regret with forgetting-factor i... 详细信息
来源: 评论
A Knowledge Archive-Based Framework for Multitask Multimodal optimization Problems
A Knowledge Archive-Based Framework for Multitask Multimodal...
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2024 International Annual Conference on Complex Systems and Intelligent Science, CSIS-IAC 2024
作者: Lin, Guo-Yun Chen, Zong-Gan Li, Jian-Yu Jiang, Yuncheng Zhan, Zhi-Hui School of Computer Science South China Normal University Guangzhou China College of Artificial Intelligence Nankai University Tianjin China
Evolutionary computation algorithms have been extensively studied to locate multiple global peaks in multimodal optimization problems (MMOPs). However, multitask multimodal optimization, which aims to deal with multip... 详细信息
来源: 评论
A Novel Subspace Construction Method for Large-Scale Evolutionary Multi-Objective optimization  13
A Novel Subspace Construction Method for Large-Scale Evoluti...
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13th IEEE Congress on Evolutionary Computation, CEC 2024
作者: Wang, Wenping Zhang, Yang Zhu, Shuwei Cui, Meiji School of Artificial Intelligence and Computer Science Jiangnan University Wuxi China
Problem transformation based optimization for large-scale multi-objective problems usually have excellent con-vergence yet insufficient diversity. Improving the distributivity of the search subspace in the decision sp... 详细信息
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Wargame Multi-Target Path Planning optimization Using A∗ Algorithm  2
Wargame Multi-Target Path Planning Optimization Using A∗ Al...
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2nd IEEE International Conference on Image Processing and Computer Applications, ICIPCA 2024
作者: Yan, Qinglong Zhu, Minling Wang, Peng Beijing Information Science and Technology University Beijing China
The traditional path planning problems typically focus on a single objective, whereas in the field of Wargame, it is crucial to consider trade-offs and compromises between multiple objectives. To address this issue, w... 详细信息
来源: 评论
The Impact of Firefly Algorithm (FA) optimization on Gaussian Kernel-Based Fuzzy C-Means Clustering (GKFCM) Efficiency  10
The Impact of Firefly Algorithm (FA) Optimization on Gaussia...
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10th International Conference on Fuzzy Systems and Data Mining, FSDM 2024
作者: Dungkratoke, Narongdech Simtrakankul, Chantana Laomala, Janejira Kaennakham, Sayan Department of Interdisciplinary Science and Internationalization Institute of Science Suranaree University of Technology Nakhon Ratchasima30000 Thailand School of Mathematics and Geoinformatics Institute of Science Suranaree University of Technology Nakhon Ratchasima30000 Thailand
This study explores the effectiveness of the traditional Firefly algorithm (FA) in optimizing the Gaussian Kernel-based Fuzzy C-means clustering (GKFCM) algorithm by adjusting 'sigma' and 'm'. We compa... 详细信息
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optimization Study of BP Neural Network Based on Sparrow Search Algorithm  5
Optimization Study of BP Neural Network Based on Sparrow Sea...
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5th International Conference on Artificial Intelligence and Electromechanical Automation, AIEA 2024
作者: Guo, Jinpeng Ding, Jiaxuan Zou, Rongxin Liang, Mingjun School of Computer Science Zhuhai College of Science and Technology Zhuhai China School of Finance and Trade Zhuhai College of Science and Technology Zhuhai China School of Aeronautical Engineering Zhuhai College of Science and Technology Zhuhai China
In the rapidly developing field of information technology today, the optimization of neural network algorithms has become a common focus of attention in both academia and industry. Especially when dealing with complex... 详细信息
来源: 评论
K-Means Clustering Algorithm Based on GEO optimization  14
K-Means Clustering Algorithm Based on GEO Optimization
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14th IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2024
作者: Zhang, Xu Dan, Zesheng Liu, Yangyang Li, Deyan Zhang, Xiaoting Tang, Chengkai School of Electronics and Information Northwestern Polytechnical University Xi'an China China United Network Communications Co. Ltd Hainan China Industrial Internet Co. Ltd. Hainan China
This paper proposes a k-means algorithm enhanced with GEO (Golden Eagle Optimizer) optimization to address the challenges encountered by traditional k-means algorithm, such as being highly sensitive to initial values ... 详细信息
来源: 评论
optimization Problem of Rural E-Commerce Logistics Distribution Based on Ant Colony optimization Algorithm  2
Optimization Problem of Rural E-Commerce Logistics Distribut...
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2nd IEEE International Conference on Data Science and Network Security, ICDSNS 2024
作者: Wang, Ying Jilin Agricultural Science and Technology University Jilin Jilin China
At present, with the continuous increase of Internet users in rural China, the scale of online shopping is also expanding, and the development prospect of rural e-commerce is obvious. The scattered rural population an... 详细信息
来源: 评论
Surrogate-Assisted Adaptive Knowledge Transfer for Expensive Multitasking optimization  13
Surrogate-Assisted Adaptive Knowledge Transfer for Expensive...
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13th IEEE Congress on Evolutionary Computation, CEC 2024
作者: Shen, Jiangtao Dong, Huachao Wang, Peng Wang, Xinjing Wang, Wenxin School of Marine Science and Technology Northwestern Polytechnical University Xi'an710072 China
Leveraging on fruitful intertask knowledge transfer, multitasking evolutionary algorithms (MTEAs) exhibit superior efficiency in handling multiple optimization tasks simultaneously. In practice, it is common that the ... 详细信息
来源: 评论