Showing 21 - 40 results of 138 for search '(( less based function optimization algorithm ) OR ( binary based small optimization algorithm ))', query time: 0.57s Refine Results
  1. 21

    Statistical tests of ACC on the random network. by Ruochen Zhang (3434996)

    Published 2024
    “…A novel method for optimizing small-world property is then proposed based on the multiobjective evolutionary algorithm with decomposition. …”
  2. 22

    Parameters in the experiment. by Ruochen Zhang (3434996)

    Published 2024
    “…A novel method for optimizing small-world property is then proposed based on the multiobjective evolutionary algorithm with decomposition. …”
  3. 23

    Statistical tests of APL on the random network. by Ruochen Zhang (3434996)

    Published 2024
    “…A novel method for optimizing small-world property is then proposed based on the multiobjective evolutionary algorithm with decomposition. …”
  4. 24

    Statistical tests of ACC on the regular network. by Ruochen Zhang (3434996)

    Published 2024
    “…A novel method for optimizing small-world property is then proposed based on the multiobjective evolutionary algorithm with decomposition. …”
  5. 25

    Statistical tests of APL on the regular network. by Ruochen Zhang (3434996)

    Published 2024
    “…A novel method for optimizing small-world property is then proposed based on the multiobjective evolutionary algorithm with decomposition. …”
  6. 26
  7. 27

    Optimal configuration of RC frames considering ultimate and serviceability limit state constraints by Marcela Alejandra Juliani (10449275)

    Published 2021
    “…Structural analyses are performed by using the MASTAN2 software, taking into account geometric nonlinearities and a simplified physical nonlinearity method. The objective function considers the cost of concrete, reinforcement and formwork, and the optimization problems are solved by genetic algorithms. …”
  8. 28

    Genetic algorithm meta-parameters. by Larasmoyo Nugroho (18078260)

    Published 2024
    “…<div><p>The PbGA-DDPG algorithm, which uses a potential-based GA-optimized reward shaping function, is a versatiledeep reinforcement learning/DRLagent that can control a vehicle in a complex environment without prior knowledge. …”
  9. 29

    The entity relationship of DDPG algorithm. by Larasmoyo Nugroho (18078260)

    Published 2024
    “…<div><p>The PbGA-DDPG algorithm, which uses a potential-based GA-optimized reward shaping function, is a versatiledeep reinforcement learning/DRLagent that can control a vehicle in a complex environment without prior knowledge. …”
  10. 30
  11. 31
  12. 32

    Decoding evidence for feature triplets on test tasks. by Sam Hall-McMaster (10343795)

    Published 2025
    “…<p>Another neural hypothesis formulated based on the SF&GPI algorithm is that feature triplets associated with the optimal training policies should be reactivated on test trials. …”
  13. 33

    Codes for high-order analytical continuation algorithms based on direct derivation and recursion methods by Jian Ma (19747060)

    Published 2024
    “…The optimal order of the analytical continuation algorithm is contingent upon the noise level of gravity data. …”
  14. 34

    Performance comparison of four optimization methods. by Xuexing Du (20624042)

    Published 2025
    “…(B) Relative error convergence of four optimization methods, plotted as a function of the logarithm of iterations. …”
  15. 35

    SBH17: Benchmark Database of Barrier Heights for Dissociative Chemisorption on Transition Metal Surfaces by T. Tchakoua (7202804)

    Published 2022
    “…The medium algorithm does require metal lattice constants and interlayer distances that are optimized separately for each functional. …”
  16. 36

    Supporting data for "Two Essays on Consumers' Relative Preference for Algorithm-based Versus Human Recommendations" by Xunchang Fang (9070241)

    Published 2023
    “…<p>Recommendation systems, the information filtering tools that provide options of products or services to customers, are powered by programmed algorithms or human experts. Both algorithm-based and human recommendation systems are widely adopted by companies to help consumers make optimal purchasing decisions amid their access to product information. …”
  17. 37
  18. 38
  19. 39
  20. 40

    Fig 9 - by Muhammad Usman Tariq (11022141)

    Published 2021
    Subjects: