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检索条件"主题词=optimization algorithm"
3045 条 记 录,以下是571-580 订阅
排序:
Cellular gradient algorithm for solving complex mechanical optimization design problems
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INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES 2024年 282卷
作者: Wang, Rugui Li, Xinpeng Huang, Haibo Fan, Zhipeng Huang, Fuqiang Zhao, Ningjuan Guangxi Univ Sch Mech Engn Nanning 530004 Peoples R China
In mechanical optimization design problems, there are often some non-continuous or non-differentiable objective functions. For these non-continuous and non-differentiable optimization objectives, it is often difficult... 详细信息
来源: 评论
Efficient Surrogate Model Assisted Estimation of Distribution algorithm for Expensive optimization
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IEEE ACCESS 2024年 12卷 78248-78260页
作者: Shang, Jin Li, Guiying Hao, Hao Zhang, Yufang Wuxi Inst Technol Inst Control Technol Wuxi 214121 Peoples R China Heilongjiang Univ Sch Mech & Elect Engn Harbin 150080 Heilongjiang Peoples R China Shanghai Jiao Tong Univ Inst Nat Sci Shanghai 200240 Peoples R China
In recent years, several surrogate assisted evolutionary algorithms (SAEAs) have been proposed to solve expensive optimization problems. These problems lack explicit expressions and are characterized by high invocatio... 详细信息
来源: 评论
Task allocation algorithm and optimization model on edge collaboration
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JOURNAL OF SYSTEMS ARCHITECTURE 2020年 110卷 101778-101778页
作者: Deng, Xiaoheng Li, Jun Liu, Enlu Zhang, Honggang Cent South Univ Sch Comp Sci & Engn Changsha 410083 Peoples R China Univ Massachusetts Engn Dept Boston MA 02125 USA
This paper investigates a mobile edge computing environment for video analysis tasks where edge nodes provide their computation capacities to process the computation intensive tasks submitted by end users. First, we i... 详细信息
来源: 评论
Nonlinear Feature Selection for Multi-target Regression Problems
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SN Computer Science 2025年 第5期6卷 1-15页
作者: Kanouté, Mamadou Grall-Maës, Edith Beauseroy, Pierre Computer Science and Digital Society Laboratory (LIST3N) University of Technology of Troyes Troyes France
When designing an inference model, feature selection methods can be used to select a subset of relevant variables from the original set of variables to increase the performance and reduce the complexity of the model. ... 详细信息
来源: 评论
Enhance chaotic gravitational search algorithm (CGSA) by balance adjustment mechanism and sine randomness function for continuous optimization problems
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PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS 2020年 537卷 122621-000页
作者: Jiang, Jianhua Yang, Xi Meng, Xianqiu Li, Keqin Jilin Univ Finance & Econ Dept Data Sci Changchun 130117 Jilin Peoples R China Jilin Univ Key Lab Symbol Computat & Knowledge Engn Minist Educ Changchun 130012 Jilin Peoples R China SUNY Coll New Paltz Dept Comp Sci New Paltz NY 12561 USA
The gravitational search algorithm (GSA) is a population-based meta-heuristic optimization algorithm which finds the optimal solution by the law of gravity and attraction between objects. However, as the number of ite... 详细信息
来源: 评论
Thermal resistance optimization of ultra-thin vapor chamber based on data-driven model and metaheuristic algorithm
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INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER 2024年 153卷
作者: Ye, Guimin Sheng, Yuxuan Zou, Yaping Zhang, Yang Tong, Wentao Yu, Xiao Jian, Qifei South China Univ Technol Sch Mech & Automot Engn Guangzhou 510641 Guangdong Peoples R China Guangzhou Inst Sci & Technol Guangzhou 510540 Peoples R China Guizhou Yong Hong Aviat Machinery Co LTD Guiyang 550000 Guizhou Peoples R China Aviat Ind Corp China Shenyang Aeroengine Res Inst Shenyang 110015 Peoples R China
The ultra-thin vapor chamber(UTVC) is extensively utilized across various fields due to its excellent heat dissipation performance and good temperature uniformity. The data-driven modeling approach is well suited to p... 详细信息
来源: 评论
Hybrid Evolutionary algorithm for the optimization of Interplanetary Trajectories
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JOURNAL OF SPACECRAFT AND ROCKETS 2009年 第2期46卷 365-372页
作者: Sentinella, Matteo Rosa Casalino, Lorenzo Politecn Torino Dipartimento Energet I-10129 Turin Italy
A hybrid evolutionary algorithm is applied to the design of interplanetary trajectories with multiple impulses and gravity assists. The optimization procedure runs three different optimizers based on genetic algorithm... 详细信息
来源: 评论
Artificial Intelligence in Geopolymer Concrete Mix Design: A Comprehensive Review of Techniques and Applications
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Iranian Journal of Science and Technology - Transactions of Civil Engineering 2025年 1-33页
作者: Mushthofa, Malik Thedy, John Teguh, Mochamad Purwanto Pratama, Adjie Gemilang Han, Ay Lie Department of Civil Engineering Islamic University of Indonesia Yogyakarta 55584 Indonesia Department of Bioenvironmental Systems Engineering National Taiwan University Taipei 10617 Taiwan Department of Civil Engineering Diponegoro University Semarang 50275 Indonesia
This systematic review explores the application of Artificial Intelligence (AI) in optimizing the mix design of fly ash-based geopolymer concrete (FABGC). Analyzing studies published between 2014 and 2025, it examines... 详细信息
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Artificial meerkat algorithm: a new metaheuristic algorithm for solving optimization problems
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PHYSICA SCRIPTA 2024年 第12期99卷 125280-125280页
作者: Wang, Xiaowei Huangshan Univ Sch Tourism Huangshan Anhui Peoples R China
In this study, a novel artificial meerkat optimization algorithm (AMA) is proposed to simulate the cooperative behaviors of meerkat populations. The AMA algorithm is designed with two sub-populations, multiple search ... 详细信息
来源: 评论
Supply-Demand-Based optimization: A Novel Economics-Inspired algorithm for Global optimization
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IEEE ACCESS 2019年 7卷 73182-73206页
作者: Zhao, Weiguo Wang, Liying Zhang, Zhenxing Hebei Univ Engn Sch Water Conservancy & Hydropower Handan 056021 Peoples R China Univ Illinois Prairie Res Inst Illinois State Water Survey Champaign IL 61820 USA
A novel metaheuristic optimization algorithm, named supply-demand-based optimization (SDO), is presented in this paper. SDO is a swarm-based optimizer motivated by the supply-demand mechanism in economics. This algori... 详细信息
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