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  1. 321

    Binary composite crossover genetic algorithm for locating critical slip surface by Wei Qin, Jiancheng Zhao

    Published 2024-12-01
    “…Moreover, the effects of slope structural characteristics should be considered when setting the number of control variables and population size. Algorithm comparison results show that RGA-BCC has better performance in solving the slope CSS problem compared with differential evolution (DE) and sparrow search algorithm (SSA).…”
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    Article
  2. 322

    Multipopulation Management in Evolutionary Algorithms and Application to Complex Warehouse Scheduling Problems by Yadong Yu, Haiping Ma, Mei Yu, Sengang Ye, Xiaolei Chen

    Published 2018-01-01
    “…This paper proposes a simple multipopulation management strategy to dynamically adjust the subpopulation number in different evolution phases throughout the evolution. …”
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    Article
  3. 323

    AUV path planning method based on improved sparrow search algorithm by Lijun TANG, Yunxia FAN, Xingyu ZHOU, Qian SUN

    Published 2025-06-01
    “…Results Simulation results demonstrate that the ISSA significantly outperforms the original SSA and other state-of-the-art algorithms, such as particle swarm optimization (PSO), differential evolution (DE), artificial bee colony (ABC), and whale optimization algorithm (WOA). …”
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  4. 324
  5. 325

    Gaslike Social Motility: Optimization Algorithm with Application in Image Thresholding Segmentation by Oscar D. Sanchez, Luz M. Reyes, Arturo Valdivia-González, Alma Y. Alanis, Eduardo Rangel-Heras

    Published 2025-04-01
    “…GSM is rigorously evaluated against established and recent metaheuristic algorithms, including Particle Swarm Optimization (PSO), Differential Evolution (DE), Bat Algorithm (BA), Artificial Bee Colony (ABC), Artificial Hummingbird Algorithm (AHA), AHA with Aquila Optimization (AHA-AO), Colliding Bodies Optimization (CBO), Enhanced CBO (ECBO), and Social Network Search (SNS). …”
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    Article
  6. 326

    Key frame extraction algorithm for surveillance videos using an evolutionary approach by Manjusha Rajan, Latha Parameswaran

    Published 2025-01-01
    “…The results demonstrate that the proposed KFE approach adheres to benchmark data and captures additional significant frames. Compared to Differential Evolution (DE) techniques and Deep Learning (DL) models from the literature, this recommended algorithm demonstrates superior efficiency, as verified through quantitative and qualitative evaluation metrics. …”
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    Article
  7. 327
  8. 328

    A hybrid particle swarm optimization algorithm for solving engineering problem by Jinwei Qiao, Guangyuan Wang, Zhi Yang, Xiaochuan Luo, Jun Chen, Kan Li, Pengbo Liu

    Published 2024-04-01
    “…Thirdly, a new local optimal jump-out strategy is proposed to overcome the "premature" problem. Finally, the algorithm applies the spiral shrinkage search strategy from the whale optimization algorithm (WOA) and the Differential Evolution (DE) mutation strategy in the later iteration to accelerate the convergence speed. …”
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    Article
  9. 329

    Adaptive Radio Access Technology Selection Algorithm for Heterogeneous Wireless Networks by Folashade Olamide Ariba, Festus Kehinde Ojo, Zachaeus Adeyemo

    Published 2024-07-01
    “…The adaptive RAT selection algorithm was executed in different service mixes (voice and data service) to access model suitability for users in Global System for Mobile Communications with Enhanced Data Rates for Global Evolution Radio Access Network (GERAN) and Universal Mobile Telecommunications System Radio Access Network (UTRAN). …”
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  10. 330

    An evaluation of flow-routing algorithms for calculating contributing area on regular grids by A. B. Prescott, J. D. Pelletier, S. Chataut, S. Ananthanarayan

    Published 2025-03-01
    “…We also introduce a new flow-routing algorithm entitled IDS (in reference to the iterative depth- and slope-dependent nature of the algorithm) that is more suitable than MFD for applications in which the bed and water surface slopes differ substantially. …”
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    Article
  11. 331

    A Survey of Nature-Inspired Meta-Heuristic Algorithms in Network Alignment by Anagh Awal, Farsuram Pandit

    Published 2024-09-01
    “…To address these challenges, nature-inspired meta-heuristic optimization algorithms have emerged as powerful tools. These algorithms, inspired by natural processes such as evolution, swarm behavior, and other biological phenomena, provide effective solutions for complex optimization problems. …”
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    Article
  12. 332

    Resource analysis of quantum algorithms for coarse-grained protein folding models by Hanna Linn, Isak Lyngfelt, Laura García-Álvarez, Göran Johansson

    Published 2024-07-01
    “…Such operations are a fundamental component of these quantum algorithms, guiding the evolution of the quantum state for efficient computations. …”
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    Article
  13. 333

    Measurement methods and interpretation algorithms for the determination of the remaining lifetime of the electrical insulation by Engster F.

    Published 2005-12-01
    “…The interpretation of the measurement results is done based on analytical algorithms allowing also the calculation of the index of correlation between the real results and the mathematical interpolation. …”
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    Article
  14. 334

    Ship Scheduling Algorithm Based on Markov-Modulated Fluid Priority Queues by Jianzhi Deng, Shuilian Lv, Yun Li, Liping Luo, Yishan Su, Xiaolin Wang, Xinzhi Liu

    Published 2025-07-01
    “…The algorithm introduces a multi-priority service strategy to achieve the differentiated scheduling of different types of ships and improves the computational efficiency and scalability based on a matrix analysis method. …”
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    Article
  15. 335

    An adaptive genetic algorithm with double populations for solving traveling salesman problems by Taishan Yan, Xin Chen, Baoshuang Yan

    Published 2025-07-01
    “…The dominant population and auxiliary population execute different adaptive crossover and mutation strategies during the evolution process. …”
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    Article
  16. 336

    Base Station Placement Algorithm for Large-Scale LTE Heterogeneous Networks. by Seungseob Lee, SuKyoung Lee, Kyungsoo Kim, Yoon Hyuk Kim

    Published 2015-01-01
    “…Furthermore, increased wireless data demands have driven mobile operators to roll out large-scale networks of small long term evolution (LTE) cells. Therefore, in this paper, we aim to derive an optimum network planning algorithm for large-scale LTE HetNets. …”
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  17. 337

    Lost in translation: using global fact-checks to measure multilingual misinformation prevalence, spread, and evolution by Dorian Quelle, Calvin Yixiang Cheng, Alexandre Bovet, Scott A. Hale

    Published 2025-03-01
    “…Next we show that fact-checkers take more time to fact-check claims that have crossed language barriers and model the temporal and cross-lingual evolution of claims. We analyze connected components and shortest paths connecting different versions of a claim finding that claims gradually drift over time and undergo greater alteration when traversing languages. …”
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    Article
  18. 338

    Research on rock fracture evolution prediction model based on Adam-ConvLSTM and transfer learning by Runze Liu, Ziwei Wang, Yanbo Zhang, Xulong Yao, Shaohong Yan, Zhiyuan Chen, Shuai Wang, Hua Li, Qi Wang

    Published 2025-03-01
    “…In practical applications, the comprehensive model uses structure similarity index measure to align test samples with the most similar images from the model, selecting the predictive model with the most similar images for forecasting fracture evolution. Comparative validation indicates that this comprehensive model outperforms traditional methods and basic deep learning algorithms in both prediction efficiency and accuracy. …”
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    Article
  19. 339

    PyGenAlgo: A simple and powerful toolkit for genetic algorithms by Michail D. Vrettas, Stefano Silvestri

    Published 2025-05-01
    “…Genetic algorithms (GAs) are meta-heuristic algorithms that are used for solving constrained and unconstrained optimization problems, mimicking the process of natural selection in biological evolution. …”
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    Article
  20. 340