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  1. 321

    The Patch-Levy-Based Bees Algorithm Applied to Dynamic Optimization Problems by Wasim A. Hussein, Siti Norul Huda Sheikh Abdullah, Shahnorbanun Sahran

    Published 2017-01-01
    “…Many real-world optimization problems are actually of dynamic nature. …”
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    Article
  2. 322

    Grouped Byzantine fault tolerant consensus algorithm based on aggregated signatures by Yong Wang, Qiancheng Wan, Yifan Wu, Lijie Chen

    Published 2025-07-01
    “…To address these issues, this paper proposes a Grouped Byzantine Fault-Tolerant Consensus Algorithm based on aggregated signatures (GABFT). This algorithm utilizes aggregated signature technology to reduce both communication and storage overhead by combining the signatures of multiple nodes into a single signature. …”
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    Article
  3. 323
  4. 324

    Parameter Optimization of Balise Circuit Based on Fusion of BNN and Genetic Algorithm by Zhengjiao Li, Zishuo Zhao, Jiang Liu, Zhongqi Zhang, Baigen Cai

    Published 2024-01-01
    “…However, the circuit has high complexity, many parameters need to be considered in optimization, and the constraint relationship is complex. …”
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    Article
  5. 325

    A Decomposition-Based Multiobjective Evolutionary Algorithm with Adaptive Weight Adjustment by Cai Dai, Xiujuan Lei

    Published 2018-01-01
    “…Recently, decomposition-based multiobjective evolutionary algorithms have good performances in the field of multiobjective optimization problems (MOPs) and have been paid attention by many scholars. …”
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    Article
  6. 326

    Community-Based Memetic Algorithm for Influence Maximization in Large-Scale Networks by Mithun Roy, Indrajit Pan

    Published 2025-01-01
    “…This algorithm combines the concept of genetic algorithm with a reachability-based local search method to accelerate the convergence process. …”
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    Article
  7. 327

    Application of Blocplan and Aldep Algorithms for Optimizing Production Layout at Meatball Factory by Thabed Tholib Baladraf

    Published 2025-06-01
    “…The method used in this study uses the Blocplan and Aldep algorithms, added with sensitivity analysis through several scenarios. …”
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    Article
  8. 328

    Adaptive algorithms for enhancement of speech subject to a high-level noise by Mariusz LATOS, Marek PAWEŁCZYK

    Published 2013-11-01
    “…There are many industrial environments which are exposed to a high-level noise, sometimes much higher than the level of speech. …”
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    Article
  9. 329

    A Novel Chaotic System Generator Architecture Based on Optimization Algorithm by T. Cigal, E. Tanyildizi

    Published 2025-01-01
    “…The proposed theoretical architecture combines the components of existing chaotic systems with a new approach using the advantages of optimization algorithms. The success of the theoretical architecture proposed in the study has been verified on one-dimensional chaotic systems. …”
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  10. 330
  11. 331

    Genetic Algorithm Optimization for Determining Fuzzy Measures from Fuzzy Data by Chen Li, Gong Zeng-tai, Duan Gang

    Published 2013-01-01
    “…Though there have existed some methodologies for solving this problem, such as genetic algorithms, gradient descent algorithms, neural networks, and particle swarm algorithm, it is hard to say which one is more appropriate and more feasible. …”
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    Article
  12. 332

    HamLib: A library of Hamiltonians for benchmarking quantum algorithms and hardware by Nicolas PD Sawaya, Daniel Marti-Dafcik, Yang Ho, Daniel P Tabor, David E Bernal Neira, Alicia B Magann, Shavindra Premaratne, Pradeep Dubey, Anne Matsuura, Nathan Bishop, Wibe A de Jong, Simon Benjamin, Ojas Parekh, Norm Tubman, Katherine Klymko, Daan Camps

    Published 2024-12-01
    “…In order to characterize and benchmark computational hardware, software, and algorithms, it is essential to have many problem instances on-hand. …”
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    Article
  13. 333

    Stochastic Zeroth-Order Multi-Gradient Algorithm for Multi-Objective Optimization by Zhihao Li, Qingtao Wu, Moli Zhang, Lin Wang, Youming Ge, Guoyong Wang

    Published 2025-02-01
    “…Multi-objective optimization (MOO) has become an important method in machine learning, which involves solving multiple competing objective problems simultaneously. Nowadays, many MOO algorithms assume that gradient information is easily available and use this information to optimize functions. …”
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    Article
  14. 334

    A Fast Hybrid Classification Algorithm with Feature Reduction for Medical Images by Hanan Ahmed Hosni Mahmoud, Abeer Abdulaziz AlArfaj, Alaaeldin M. Hafez

    Published 2022-01-01
    “…In this paper, we are introducing a fast hybrid fuzzy classification algorithm with feature reduction for medical images. …”
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    Article
  15. 335

    A Highly Discriminative Hybrid Feature Selection Algorithm for Cancer Diagnosis by Tarneem Elemam, Mohamed Elshrkawey

    Published 2022-01-01
    “…To examine the proposed algorithm, many tests have been carried out on four cancerous microarray datasets, employing in the process 10-fold cross-validation and hyperparameter tuning. …”
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  16. 336

    Developing an efficient algorithm for robust school bus routing with heterogeneous fleet by Mohamad Ali Movafaghpour

    Published 2023-09-01
    “…Purpose: In many real-world optimization problems, we are facing uncertainties in parameters describing the problem. …”
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    Article
  17. 337

    Optimal Speed and Position Controller for PMDC Motor Based GWO Algorithm by Iman S. Kareem, Sahar R. Al-Sakini, Ghassan A. Bilal

    Published 2025-07-01
    “…The Grey Wolf Optimizations GWO Algorithm, is the newer technique to optimize the uncertain optimization problems by autotuning parameters. …”
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  18. 338

    Rapid Contrast Enhancement Algorithm for Natural Contrast- Distorted Color Images by Asmaa Albakri, Zohair Al-Ameen

    Published 2021-12-01
    “…Therefore, a low-intricacy multi-step algorithm is developed in this study for rapid contrast enhancement of color images. …”
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  19. 339

    Modification of the genetic algorithm for comprehensive topological optimization of the synchronous motors rotor by T. I. Petrov

    Published 2021-07-01
    “…PMSM have smaller weight and size parameters, which allows them to be used in a wider field of application, for example, in household appliances, robots and many other drives.TARGET. The aim is to develop a methodology for topological complex optimization of the engine design, based on a genetic algorithm.METHODS. …”
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  20. 340

    Artificial Intelligence and Algorithmic Approaches of Health Security Systems: A Review by Savina Mariettou, Constantinos Koutsojannis, Vassilios Triantafillou

    Published 2025-01-01
    “…According to this study, most of the research analyzed uses algorithmic technology approaches, many researchers prove that ransomware is the most common threat to hospital information systems, and more studies are needed to evaluate the performance of the systems created against this kind of attack.…”
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