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检索条件"主题词=Surrogate-assisted Evolutionary Algorithm"
79 条 记 录,以下是1-10 订阅
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surrogate-assisted evolutionary algorithm with decomposition-based local learning for high-dimensional multi-objective optimization
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EXPERT SYSTEMS WITH APPLICATIONS 2024年 240卷
作者: Shen, Jiangtao Wang, Peng Dong, Huachao Wang, Wenxin Li, Jinglu Northwestern Polytech Univ Sch Marine Sci & Technol Xian 710072 Peoples R China
When the evolutionary algorithm is applied to handle high -dimensional expensive multi -objective optimization problems (MOPs), population evolution is crucial since it controls exploration and exploitation and decide... 详细信息
来源: 评论
A surrogate-assisted evolutionary algorithm for Seeking Multiple Solutions of Expensive Multimodal Optimization Problems
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IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE 2024年 第1期8卷 377-388页
作者: Ji, Jing-Yu Tan, Zusheng Zeng, Sanyou See-To, Eric W. K. Wong, Man-Leung Lingnan Univ Dept Comp & Decis Sci Hong Kong Peoples R China China Univ Geosci Sch Mech Engn & Elect Informat Wuhan 430074 Peoples R China
surrogate-assisted evolutionary algorithms for expensive optimization problems have gained considerable attention in recent years. In many real-world optimization problems, we may face expensive optimization problems ... 详细信息
来源: 评论
A surrogate-assisted evolutionary algorithm with clustering-based sampling for high-dimensional expensive blackbox optimization
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JOURNAL OF GLOBAL OPTIMIZATION 2024年 第1期89卷 93-115页
作者: Bai, Fusheng Zou, Dongchi Wei, Yutao Chongqing Normal Univ Natl Ctr Appl Math Chongqing Chongqing 401331 Peoples R China
Many practical problems involve the optimization of computationally expensive blackbox functions. The computational cost resulting from expensive function evaluations considerably limits the number of true objective f... 详细信息
来源: 评论
A surrogate-assisted evolutionary algorithm with an adaptive sample selection strategy for wind farm layout optimization
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INTERNATIONAL JOURNAL OF GREEN ENERGY 2023年 第9期20卷 966-977页
作者: Li, Xuemei Liu, Mingyang Li, Shaojun East China Univ Sci & Technol Key Lab Smart Mfg Energy Chem Proc Minist Educ Shanghai 200237 Peoples R China
When using evolutionary algorithms to optimize wind farm layouts, it is computationally expensive to use computational fluid dynamics (CFD) model to evaluate different wind farm layouts. To alleviate the difficulty, s... 详细信息
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surrogate-assisted evolutionary algorithm with dimensionality reduction method for water flooding production optimization
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JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING 2020年 第0期185卷 106633-000页
作者: Chen, Guodong Zhang, Kai Xue, Xiaoming Zhang, Liming Yao, Jun Sun, Hai Fan, Ling Yang, Yongfei China Univ Petr East China 66 Changjiang West Rd Qingdao 266580 Shandong Peoples R China
The objective of oil reservoir production optimization is finding optimal scheme of each well to maximize the net present value (NPV) or the hydrocarbon production. Various optimization methods have been proposed to a... 详细信息
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A bagging-based surrogate-assisted evolutionary algorithm for expensive multi-objective optimization
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NEURAL COMPUTING & APPLICATIONS 2022年 第14期34卷 12097-12118页
作者: Liu, Yuanchao Liu, Jianchang Tan, Shubin Yang, Yongkuan Li, Fei Northeastern Univ State Key Lab Synthet Automat Proc Ind Shenyang Peoples R China Northeastern Univ Coll Informat Sci & Engn Shenyang Peoples R China Xiamen Univ Technol Sch Elect Engn & Automat Xiamen Peoples R China Anhui Univ Technol Dept Elect & Informat Engn Maanshan Anhui Peoples R China
It is a big challenge for multi-objective evolutionary algorithms to solve expensive multi-objective optimization due to high computational cost. To effectively address expensive multi-objective optimization, this wor... 详细信息
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An activity level based surrogate-assisted evolutionary algorithm for many-objective optimization
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APPLIED SOFT COMPUTING 2024年 164卷
作者: Pan, Jeng-Shyang Zhang, An-Ning Chu, Shu-Chu Zhao, Jia Snasel, Vaclav Nanjing Univ Informat Sci & Technol Sch Artificial Intelligence Nanjing Peoples R China Shandong Univ Sci & Technol Coll Comp Sci & Engn Qingdao 266590 Peoples R China Chaoyang Univ Technol Dept Informat Management Taichung Taiwan Nanchang Inst Technol Sch Informat Engn Nanchang 330099 Peoples R China VSB Tech Univ Ostrava Fac Elect Engn & Comp Sci Ostrava Czech Republic
Addressing expensive many-objective optimization problems (MaOPs) is a formidable challenge owing to their intricate objective spaces and high computational demands. surrogate-assisted evolutionary algorithms (SAEAs) ... 详细信息
来源: 评论
A surrogate-assisted evolutionary algorithm with dual restricted Boltzmann machines and reinforcement learning-based adaptive strategy selection
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SWARM AND evolutionary COMPUTATION 2024年 89卷
作者: Gong, Yiyun Yu, Haibo Kang, Li Qiao, Gangzhu Guo, Dongpeng Zeng, Jianchao North Univ China Sch Elect & Control Engn Taiyuan 030051 Peoples R China North Univ China Inst Big Data & Visual Comp Taiyuan 030051 Peoples R China North Univ China Sch Environm & Safety Engn Taiyuan 030051 Peoples R China Taiyuan Univ Sci & Technol Sch Environm & Resources Taiyuan 030024 Peoples R China
To improve the effectiveness of surrogate-assisted evolutionary algorithms (SAEAs) in solving high-dimensional expensive optimization problems with multi-polar and multi-variable coupling properties, a new approach ca... 详细信息
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Decision space partition based surrogate-assisted evolutionary algorithm for expensive optimization
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EXPERT SYSTEMS WITH APPLICATIONS 2023年 214卷
作者: Liu, Yuanchao Liu, Jianchang Tan, Shubin Northeastern Univ State Key Lab Synthet Automation Proc Ind Shenyang Peoples R China Northeastern Univ Coll Informat Sci & Engn Shenyang Peoples R China
In expensive optimization, function evaluations are based on expensive physical experiments or time consuming simulations. Moreover, the gradient for the objective is not readily available. Therefore, it is a challeng... 详细信息
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A domain-transformed surrogate-assisted differential evolutionary algorithm for hyperparameter optimisation of satellite handover strategy
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INFORMATION SCIENCES 2025年 700卷
作者: Yang, Zhe Deng, Libao Li, Chunlei Qin, Yifan Zhang, Lili Harbin Inst Technol Sch Informat Sci & Engn Weihai 264209 Shandong Peoples R China Dublin City Univ Sch Comp Dublin D09 V209 Ireland
With the rapid advancement of low-Earth-orbit (LEO) satellite technology, satellite phone calls have become increasingly widespread. However, this progress introduces new challenges: the high velocity of LEO satellite... 详细信息
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