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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
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
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 Q2 ENGINEERING, MULTIDISCIPLINARY 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
Hydrothermal–pumped-storage scheduling considering renewable energy uncertainty by improved cheetah optimization 通过改进的猎豹优化考虑可再生能源不确定性的水热抽水蓄能调度
IF 2.7 3区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2024-05-03 DOI: 10.1080/0305215x.2024.2338880
Prahlad Mundotiya, Mahendra Bhadu, H. P. Tiwari
The growth of renewable wind and solar energy in modern power systems affects the short-term scheduling of hydrothermal power generation. This article presents the optimum day-ahead scheduling of w...
现代电力系统中可再生风能和太阳能的增长影响了水热发电的短期调度。本文介绍了风能和太阳能发电的优化日前调度。
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引用次数: 0
A revised Liu–Storey conjugate gradient parameter for unconstrained optimization problems with applications 无约束优化问题的修订版刘-斯托雷共轭梯度参数及其应用
IF 2.7 3区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2024-04-29 DOI: 10.1080/0305215x.2024.2329323
Nasiru Salihu, Poom Kumam, Mahmoud Muhammad Yahaya, Thidaporn Seangwattana
Conjugate Gradient (CG) methods are renowned for their efficiency and low memory requirements when solving optimization problems. However, certain formulations of CG methods that switch between two...
共轭梯度(Conjugate Gradient,CG)方法在解决优化问题时以其高效率和低内存需求而闻名。然而,某些共轭梯度(CG)方法的公式会在两种梯度之间切换。
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引用次数: 0
Robust topology optimization of multi-material structures based on the material-field series-expansion method 基于材料场序列展开法的多材料结构稳健拓扑优化
IF 2.7 3区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2024-04-26 DOI: 10.1080/0305215x.2024.2340062
Xingjun Gao, Longhua Li, Yingxiong Li, Meiling Dai
The performance of composite structures can be dramatically improved through the synergy between different constituent materials. However, the topology optimization of multi-material structures pos...
通过不同组成材料之间的协同作用,复合材料结构的性能可以得到显著提高。然而,多材料结构的拓扑优化对复合材料的性能提出了更高的要求。
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引用次数: 0
A model-driven decision support system for the storage location assignment problem in bulk ports 针对散货港口存储位置分配问题的模型驱动决策支持系统
IF 2.7 3区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2024-04-26 DOI: 10.1080/0305215x.2024.2333400
Issam Krimi, Raca Todosijevic
Yard storage management involves tactical and operational decisions affecting bulk port productivity. The main challenge is to ensure that bulk materials are available and stored according to physi...
堆场存储管理涉及影响散货港口生产率的战术和运营决策。主要的挑战是如何确保散装物料的供应和储存符合物理和化学标准。
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引用次数: 0
A parallel deep adaptive large neighbourhood search algorithm for distributed heterogeneous hybrid flow shops with mixed-model assembly scheduling 混合模式装配调度分布式异构混合流动车间的并行深度自适应大邻域搜索算法
IF 2.7 3区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2024-04-26 DOI: 10.1080/0305215x.2024.2328188
Weishi Shao, Zhongshi Shao, Dechang Pi
Nowadays, manufacturing enterprises must have fast response and flexible production capabilities to meet personalized and diversified market demands. Mixed-model production and distributed producti...
如今,制造企业必须具备快速反应和灵活生产的能力,以满足个性化和多样化的市场需求。混合模式生产和分布式生产是当今制造业的发展趋势。
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引用次数: 0
Sine cosine algorithm with peer learning for global numerical optimization 用于全局数值优化的带同伴学习的正余弦算法
IF 2.7 3区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2024-04-18 DOI: 10.1080/0305215x.2024.2340054
Jiatang Cheng, Qiuhong Lin, Yan Xiong
The sine cosine algorithm (SCA) is a simple and effective optimization method. However, it may exhibit stagnation behaviour in addressing complex optimization problems. Therefore, a novel improved ...
正弦余弦算法(SCA)是一种简单有效的优化方法。然而,它在处理复杂的优化问题时可能会表现出停滞行为。因此,一种新颖的改进型正弦余弦算法(SCA)可用于解决复杂的优化问题。
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引用次数: 0
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Engineering Optimization
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