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  1. 241

    Hybrid B-spline collocation method with particle swarm optimization for solving linear differential problems by Seherish Naz Khalid Ali Khan, Md Yushalify Misro

    Published 2025-03-01
    “…However, the accuracy of the CHBSM is highly dependent on the value of $ \gamma $, which must be optimized for improved results. While traditional brute-force optimization methods can achieve minimal errors, they often require significant computational time and effort. …”
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  2. 242

    Model and training method for aerial image object detector with optimization of both robustness and computational efficiency by Alona Moskalenko, Mykola Zaretskyi, Maksym Vynohradov, Vladyslav Babych

    Published 2024-10-01
    “…The objective is to design a model that allocates resources optimally while maintaining stability. To achieve this, the study employs techniques such as dynamic neural networks, robustness optimization, and resilience strategies. …”
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  3. 243

    Optimization and validation of bifenazate and bifenazate-diazene quantification in agricultural products using a reduction method by Deuk-Yeong Lee, Hee-Jin Jeong, Jong-Wook Song, Ji-Young An, Jong-Su Seo, Jong-Hwan Kim

    Published 2025-06-01
    “…This study aimed to develop a reliable method for quantifying bifenazate in agricultural products by optimizing the reduction conditions for bifenazate-diazene and evaluating the purification efficiency of different sorbents. …”
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  4. 244

    Comprehensive Evaluation Method of Teaching Effect Based on Particle Swarm Optimization Neural Network Model by Heng Cao, Qianhui Gao

    Published 2022-01-01
    “…It adopts a web-style tour method. There are many types of functions, and the system includes common functions required for general teacher teaching information management and quality evaluation, and while providing various functions, it closely integrates the various actual needs of the college. …”
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  5. 245
  6. 246

    Structural Topology Optimization for Frequency Response Problems Using Adaptive Second-Order Arnoldi Method by Yongxin Qu, Yonghui Zhou, Yunfeng Luo

    Published 2025-05-01
    “…However, this leads to the redundancy of expansion points, as some frequency bands require more expansion points while others only need a few. In this paper, a bisection-based adaptive SOAR method (ASOAR), in which the points are added adaptively based on a local error estimation function, is developed to solve this problem. …”
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  7. 247
  8. 248

    Optimal Allocation Method of Integrated Energy System Considering Joint Operation of Multiple Flexible Resources by DENG Qianwen, LI Qi, QIU Yibin, LI Doumeng, HUO Shasha, CHEN Weirong

    Published 2025-07-01
    “…To address this and build a safe, efficient, low-carbon, and clean energy system, an integrated energy system (IES) optimization allocation method is proposed considering the joint operation of multiple flexibility resources. …”
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  9. 249
  10. 250

    Design of an Improved Method for Task Scheduling Using Proximal Policy Optimization and Graph Neural Networks by Nemilidinea Anantharami Reddy, B.V. Gokulnath

    Published 2024-01-01
    “…Modern computational environments have been getting more and more complex and dynamic; hence, mechanisms of task scheduling are increasingly sophisticated in order to guarantee optimal resource usage and reduced latency. Traditional heuristic-based approaches, although very fast, often fail to meet the intricacies of the dependencies and real-time variability that exist in large-scale systems and hence result in far from optimal task completion timestamp and resource inefficiencies. …”
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    Article
  11. 251

    IMPLEMENTATION OF INTEGER PROGRAMMING USING THE BRANCH AND BOUND METHOD ASSISTED BY PYTHON IN OPTIMIZING THE PRODUCTION OF COOKIES by Nira Nityasa Saranta, Susi Setiawani, Rafiantika Megahnia Prihandini, Antonius CahyaPrihandoko, Edy Wihardjo

    Published 2024-07-01
    “…Optimization using the Branch and Bound method can utilize the Python programming language with a limit of 50 iterations. …”
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  12. 252

    Reference Point and Grid Method-Based Evolutionary Algorithm with Entropy for Many-Objective Optimization Problems by Qi Leng, Bo Shan, Chong Zhou

    Published 2025-05-01
    “…However, they still have limitations when addressing many-objective optimization problems. Due to the uniform distribution of reference points, the reference point-based methods do not obtain good performance on problems with an irregular Pareto front, while grid-based methods do not achieve good results on problems with a regular Pareto front because of the uneven partition of grids. …”
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  13. 253

    Multibody kinematics optimization for motion reconstruction of the human upper extremity using potential field method by Iman Soodmand, Sven Herrmann, Eric Kleist, Annika Volpert, Hannes Wackerle, Peter Augat, Rainer Bader, Christoph Woernle, Maeruan Kebbach

    Published 2025-03-01
    “…To reconstruct joint angles from motion capture data, several multibody kinematic optimization methods have been developed. However, a computationally efficient method yet simple to implement while ensuring consistent kinematics at all levels is lacking. …”
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  14. 254
  15. 255

    Estimating elastic properties of sediments by pseudo-wells generation utilizing simulated annealing optimization method by Nasser Keshavarz Faraj Khah, Bahare Salehi, Pooria Kianoush, Shahab Varkouhi

    Published 2024-12-01
    “…In this study, the SEAM earth model has been used as a reference to investigate the quality of pseudo-well generation utilizing a simulated annealing (SA) algorithm as an optimization method of property model change, which minimizes the cost function of seismic inversion. …”
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  16. 256

    A cluster-optimized regulation method for distribution networks considering distributed photovoltaic heterogeneous characteristics by Junhao Li, Xin Wang, Qi Guo, Chunzhi Yang, Yizhe Chen, Ruifeng Zhao, Ming Li

    Published 2025-09-01
    “…To address these challenges, a cluster-optimized regulation method is proposed, leveraging DPV heterogeneity to enable coordinated regulation while reducing directly-managed devices through DN clustering. …”
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  17. 257
  18. 258

    Low Computational Cost for Multiple Waypoints Trajectory Planning: A Time‐Optimal‐Based Approach by Da‐hui Lin‐Yang, Francisco Pastor, Alfonso J. García‐Cerezo

    Published 2025-01-01
    “…In this article, a novel time‐optimal planner based on optimization methods is introduced. …”
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  19. 259

    An analytical optimal calibration framework of bonded particle model for rock strength envelop modelling by Xiaoxiong Zhou, Hongyi Xu, Qiuming Gong, Yanan Ma, Weiqiang Xie

    Published 2025-05-01
    “…In the second stage, a finite difference gradient optimization method was used to further approximate the optimal bond parameters. …”
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  20. 260