Showing 41 - 60 results of 285 for search 'Robustness (evolution)', query time: 0.06s Refine Results
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    Differential Evolution-Based End-Fire Realized Gain Optimization of Active and Parasitic Arrays by Rozita Konstantinou, Ihsan Kanbaz, Okan Yurduseven, Michail Matthaiou

    Published 2025-01-01
    “…This multi-objective optimization, underpinned by the differential evolution (DE) algorithm, uses a simple wire dipole as the unit element. …”
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    Article
  3. 43

    Distance-Based Congestion Pricing with Day-to-Day Dynamic Traffic Flow Evolution Process by Qixiu Cheng, Jiping Xing, Wendy Yi, Zhiyuan Liu, Xiao Fu

    Published 2019-01-01
    “…Therefore, in order to overcome the expensive computational burden problem and make the robust toll scheme more practical, we propose a new robust optimization model in this paper. …”
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    Article
  4. 44

    Evolution of CFD as an engineering science. A personal perspective with emphasis on the finite volume method by Runchal, Akshai Kumar

    Published 2024-06-01
    “…The author was a part of the Imperial College group and this is a personal perspective on the evolution of CFD.Over the last few decades, CFD has made a significant impact in a wide spectrum of engineering and environmental sectors. …”
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    Article
  5. 45

    An Improved Human Evolution Optimization Algorithm for Unmanned Aerial Vehicle 3D Trajectory Planning by Xue Wang, Shiyuan Zhou, Zijia Wang, Xiaoyun Xia, Yaolong Duan

    Published 2025-01-01
    “…Second, recognizing the sensitivity of population diversity to Logistic Chaotic Mapping in a traditional Human Evolution Optimization Algorithm (HEOA), an opposition-based learning strategy is employed to uniformly initialize the population distribution, thereby enhancing the algorithm’s global optimization capability. …”
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    Article
  6. 46

    Efficient Intrusion Detection System Data Preprocessing Using Deep Sparse Autoencoder with Differential Evolution by Saranya N., Anandakumar Haldorai

    Published 2024-01-01
    “…An intrusion detection system (IDS) is a tool to prevent from intrusions by inspecting the network traffic and to make sure the network integrity, confidentiality, availability, and robustness. Many researchers are focused to IDS with machine and deep learning approaches to detect the intruders. …”
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    Article
  7. 47

    A State-of-the-Art Fractional Order-Driven Differential Evolution for Wind Farm Layout Optimization by Sichen Tao, Sicheng Liu, Ruihan Zhao, Yifei Yang, Hiroyoshi Todo, Haichuan Yang

    Published 2025-01-01
    “…Meanwhile, the Differential Evolution algorithm (DE), known for its strong global optimization ability and excellent performance in handling complex nonlinear problems, is well recognized in continuous optimization issues. …”
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    Article
  8. 48

    Tailoring industrial enzymes for thermostability and activity evolution by the machine learning-based iCASE strategy by Nan Zheng, Yongchao Cai, Zehua Zhang, Huimin Zhou, Yu Deng, Shuang Du, Mai Tu, Wei Fang, Xiaole Xia

    Published 2025-01-01
    “…Abstract The pursuit of obtaining enzymes with high activity and stability remains a grail in enzyme evolution due to the stability-activity trade-off. …”
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    Article
  9. 49

    Shape optimization using a level set based mesh evolution method: an overview and tutorial by Dapogny, Charles, Feppon, Florian

    Published 2023-10-01
    “…In a nutshell, two complementary representations of the shape are combined: on the one hand, it is meshed exactly, which allows for precise mechanical calculations based on the finite element method; on the other hand, it is described implicitly, using the level set method, which makes it possible to track its evolution in a robust way. In the first part of this work, we overview the main aspects of this numerical strategy. …”
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    Article
  10. 50

    Exploring the evolution of scientific publication on portfolio optimization in the light of artificial intelligence: A bibliometric study by Mostafa Shabani, Rouzbeh Ghousi, Emran Mohammadi

    Published 2025-01-01
    “…The rapid evolution of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) has profoundly influenced various domains, including portfolio optimization. …”
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  11. 51

    Radial Evolution of Interplanetary Shock Properties with Heliospheric Distance: Observations from Parker Solar Probe by Oksana Kruparova, Adam Szabo, Lan K. Jian, František Němec, Jana Šafránková, Zdeněk Němeček, Jacob Pasanen, Ayris Narock, Vratislav Krupar

    Published 2025-01-01
    “…We also provide strong evidence for the existence of slow-mode shocks near the Sun, contributing to the understanding of shock formation and evolution in the inner heliosphere.…”
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    Performance Enhancement of a Solar Photovoltaic System with Differential Evolution-Optimized Quasi Sliding Mode Control by Rizki Habiba, Boufounas El-Mahjoub, El Amrani Aumeur, El Amraoui Mohamed, Bejjit Lahcen

    Published 2025-01-01
    “…This paper presents a novel approach to enhancing the performance of a solar photovoltaic (PV) system by integrating a Differential Evolution (DE) optimization algorithm into the design of a Quasi Sliding Mode Controller (QSMC). …”
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  15. 55

    Innovative Diversity Metrics in Hierarchical Population‐Based Differential Evolution for PEM Fuel Cell Parameter Optimization by Mohammad Khishe, Pradeep Jangir, Arpita, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, Laith Abualigah

    Published 2025-01-01
    “…In this study, the recently developed hierarchical population‐based differential evolution (HPDE) was employed for parameter optimization of PEMFCs due to its robustness and demonstrated superiority over other optimization algorithms. …”
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    Self‐supported thin‐film electrode consisting of transition metal borides for highly efficient hydrogen evolution by Qi Miao, Lihong Bao, Yuxin Gao, Hao Wang, Yongjun Cao, Wei Li, Lei Li, Xiaowei Yang, Jijun Zhao, Ruguang Ma

    Published 2025-01-01
    “…However, the synthesis of robust all‐in‐one electrodes is challenging for practical applications. …”
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  19. 59

    Evolution mechanisms of the scratch-induced elastoplastic stress fields and crack damage in γ-TiAl alloys by Zhaoqing Zhang, Kaining Shi, Yaoyao Shi, Huhu Li, Danni Lu, Yujie Kuang, Jiacheng Liu

    Published 2025-01-01
    “…However, the damage mechanisms during the machining of γ-TiAl alloys remain unclear, primarily due to the complexities in analyzing stress distribution and damage evolution during machining. Therefore, investigating the damage mechanisms of machining-induced, particularly the initiation and evolution of such damage, is critically important for achieving efficient and low-damage processing. …”
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