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Engineering Optimization最新文献

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Pseudo-static topology optimization using the evolutionary-type method for reinforced concrete shear walls 使用进化型方法对钢筋混凝土剪力墙进行伪静态拓扑优化
IF 2.7 3区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2024-05-29 DOI: 10.1080/0305215x.2024.2355332
Hu-zhi Zhang, Zhi-shan Wu, Hui Chen, Zhe-lin Ma, Peng Luo
For improved ductility in seismic-design reinforced concrete shear walls, a methodology referred to as pseudo-static topology optimization is incorporated to guide the design process. This approach...
为提高抗震设计钢筋混凝土剪力墙的延性,采用了一种称为伪静态拓扑优化的方法来指导设计过程。这种方法...
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引用次数: 0
A hybrid metaheuristic algorithm for scheduling iron ore reclaiming in ports 港口铁矿石装卸调度的混合元搜索算法
IF 2.7 3区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2024-05-29 DOI: 10.1080/0305215x.2024.2340688
João D. F. Jesus-Junior, Marcone J. F. Souza, Luciano P. Cota
This work deals with a scheduling problem of reclaimers. This problem involves a set of ships to be loaded with predefined stockpiles. These stockpiles are unloaded into ship holds, and each hold m...
这项工作涉及到取料机的调度问题。该问题涉及一组装载预定库存货物的船只。这些存货被卸载到船舱中,每个船舱都有一个...
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引用次数: 0
An artificial intelligence-based optimization framework for the optimal composition and thermomechanical processing schedule for specialized micro-alloyed multiphase steels 基于人工智能的优化框架,用于优化特种微合金多相钢的成分和热机械加工工艺安排
IF 2.7 3区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2024-05-29 DOI: 10.1080/0305215x.2024.2354313
M. Kafuko, S. Srinivasan
An artificial intelligence-based heuristic approach is presented to optimize the chemical composition and the thermomechanical processing schedule to obtain specialized micro-alloyed multiphase ste...
本文提出了一种基于人工智能的启发式方法,用于优化化学成分和热机械加工进度,以获得特殊的微合金多相钢。
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引用次数: 0
A novel exploration strategy for the YUKI algorithm for topology optimization with metaheuristic structural binary distribution 元启发式结构二元分布拓扑优化 YUKI 算法的新型探索策略
IF 2.7 3区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2024-05-29 DOI: 10.1080/0305215x.2024.2349104
Brahim Benaissa, Masakazu Kobayashi, Musaddiq Al Ali, Samir Khatir, Masatoshi Shimoda
The YUKI algorithm is an optimization approach based on search space reduction, adjusting its exploration and exploitation strategies based on optimization progress. This article suggests an update...
YUKI 算法是一种基于缩小搜索空间的优化方法,可根据优化进度调整其探索和利用策略。本文建议更新...
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引用次数: 0
A fully polynomial time approximation scheme for a stop schedule of a transportation line without branches 无分支运输线停靠时间表的全多项式时间近似方案
IF 2.7 3区 工程技术 Q1 Mathematics Pub Date : 2024-05-21 DOI: 10.1080/0305215x.2024.2351189
In-Jae Jeong
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引用次数: 0
A multi-stage constraint programming approach to solve clustering problems in open-pit mine planning 解决露天矿规划中的聚类问题的多阶段约束编程方法
IF 2.7 3区 工程技术 Q1 Mathematics Pub Date : 2024-05-21 DOI: 10.1080/0305215x.2024.2346935
Jorge Luiz Valença Mariz, R. Peroni, Ricardo Martins de Abreu Silva, M. Badiozamani, H. Askari-Nasab
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引用次数: 0
Fair scheduling on parallel batch machines with non-identical capacities 非相同容量并行批处理机器上的公平调度
IF 2.7 3区 工程技术 Q1 Mathematics Pub Date : 2024-05-21 DOI: 10.1080/0305215x.2024.2351188
Cui-Lin Zhang, G. Fan, Jun-Qiang Wang
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引用次数: 0
A novel binomial strategy for simultaneous topology and size optimization of truss structures 同时优化桁架结构拓扑和尺寸的新型二项式策略
IF 2.7 3区 工程技术 Q1 Mathematics Pub Date : 2024-05-21 DOI: 10.1080/0305215x.2024.2349100
Ali Mortazavi
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引用次数: 0
Relevant interval perturbation method for uncertainty analysis of structural–acoustic coupling model 用于结构-声学耦合模型不确定性分析的相关区间扰动法
IF 2.7 3区 工程技术 Q1 Mathematics Pub Date : 2024-05-03 DOI: 10.1080/0305215x.2024.2344679
Zuxiao Jiang, Lijun Zhang, Dejian Meng
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引用次数: 0
Topology optimization based on improved DoubleU-Net using four boundary condition datasets 利用四个边界条件数据集,基于改进的 DoubleU-Net 进行拓扑优化
IF 2.7 3区 工程技术 Q1 Mathematics Pub Date : 2024-05-03 DOI: 10.1080/0305215x.2024.2338189
Shun Li, PeiJian Zeng, Nankai Lin, Maohua Lu, Jianghao Lin, Aimin Yang
Topology optimization is extensively employed in engineering design. However, applying deep learning to solve topology optimization problems faces challenges owing to limited training data and mode...
拓扑优化被广泛应用于工程设计中。然而,由于训练数据和模式有限,应用深度学习解决拓扑优化问题面临着挑战。
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引用次数: 0
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Engineering Optimization
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