بدائل البحث:
algorithm within » algorithm its (توسيع البحث)
less function » cost function (توسيع البحث)
يعرض 1 - 20 نتائج من 54 نتيجة بحث عن '(( algorithms less function ) OR ( ((algorithm python) OR (algorithm within)) function ))', وقت الاستعلام: 0.11s تنقيح النتائج
  1. 1

    From Collatz Conjecture to chaos and hash function حسب Masrat Rasool (17807813)

    منشور في 2023
    "…These sequences are then utilized within the diffusion and confusion structures of the hashing function. …"
  2. 2

    Accuracy of an internationally validated genetic-guided warfarin dosing algorithm compared to a clinical algorithm in an Arab population حسب Amr M. Fahmi (21632909)

    منشور في 2024
    "…After reaching warfarin maintenance dose, the dose was recalculated using the GWD and median absolute error (MAE) and the percentage of warfarin doses within 20% of the actual dose were calculated and compared for the two algorithms. …"
  3. 3

    Design and performance analysis of hybrid MPPT controllers for fuel cell fed DC-DC converter systems حسب Shaik, Rafikiran

    منشور في 2023
    "…The studied MPPT controllers are Adaptive Adjustable Step-based Perturb and Observe (AAS-P&O) controllers, Variable Step Value-Radial Basis Function Controller (VSV-RBFC), Adaptive Step Hill Climb (ASHC) based fuzzy technique, Variable P&O with Particle Swarm Optimization (VP&O-PSO), and Variable Step Grey Wolf Algorithm (VSGWA) based fuzzy logic controller. …"
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    article
  4. 4

    Scatter Search algorithm for Protein Structure Prediction حسب Mansour, Nashat

    منشور في 2016
    "…Given the protein's sequence of Amino Acids (AAs), our algorithm produces a 3D structure that aims to minimise the energy function associated with the structure. …"
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    article
  5. 5
  6. 6

    Design and performance analysis of hybrid MPPT controllers for fuel cell fed DC-DC converter systems حسب Shaik Rafikiran (15838929)

    منشور في 2023
    "…The studied MPPT controllers are Adaptive Adjustable Step-based Perturb and Observe (AASP&O) controllers, Variable Step Value-Radial Basis Function Controller (VSV-RBFC), Adaptive Step Hill Climb (ASHC) based fuzzy technique, Variable P&O with Particle Swarm Optimization (VP&O-PSO), and Variable Step Grey Wolf Algorithm (VSGWA) based fuzzy logic controller. …"
  7. 7
  8. 8

    Performance assessment and exhaustive listing of 500+ nature-inspired metaheuristic algorithms حسب Zhongqiang Ma (13765801)

    منشور في 2023
    "…It should be noted that, except EBCM, the other 10 new algorithms are inferior to the 4 state-of-the-art algorithms in terms of convergence speed and global search ability on CEC 2017 functions. …"
  9. 9
  10. 10

    A new tabu search algorithm for the long-term hydro scheduling problem حسب Mantawy, A.H.

    منشور في 2002
    "…The proposed implementation contributes to the enhancement of speed and convergence of the original tabu search algorithm (TSA). A significant reduction in the objective function over previous classical optimization methods and a simulated annealing algorithm has been achieved. …"
    احصل على النص الكامل
    احصل على النص الكامل
    article
  11. 11

    A utility-based algorithm for joint uplink/downlink scheduling in wireless cellular networks حسب Saad, Walid

    منشور في 2012
    "…While most existing literature focuses on downlink-only or uplink-only scheduling algorithms, the proposed algorithm aims at ensuring a utility function that jointly captures the quality of service in terms of delay and channel quality on both links. …"
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    article
  12. 12
  13. 13

    An efficient failure-resilient mutual exclusion algorithm for distributed systems leveraging a novel zero-message overlay structure حسب Mouna Rabhi (17086969)

    منشور في 2024
    "…With a p f = 0 . 0016 , less than 10% of the nodes are disconnected. The proposed algorithm avoids node disconnection while minimally impacting the load of the logical tree nodes. …"
  14. 14

    Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization حسب Abu Zitar, Raed

    منشور في 2024
    "…This hybrid approach, the Improved Prairie Dog Optimization Algorithm (IPDOA) with the Genetic Algorithm (GA), utilizes the strengths of both algorithms to improve the overall optimization performance. …"
    احصل على النص الكامل
  15. 15
  16. 16

    A hybrid of clustering and meta-heuristic algorithms to solve a p-mobile hub location–allocation problem with the depreciation cost of hub facilities حسب Mahdi Mokhtarzadeh (11593310)

    منشور في 2021
    "…The depreciation cost and lifespan of hub facilities must be considered and the number of movements of the hub’s facilities must be assumed to be limited. Three objective functions are considered to minimize costs, noise pollutions, and the harassment caused by the establishment of a hub for people, a new objective that locates hubs in less populated areas. …"
  17. 17

    Single channel speech denoising by DDPG reinforcement learning agent حسب Sania Gul (18272227)

    منشور في 2025
    "…<p dir="ltr">Speech denoising (SD) covers the algorithms that suppress the background noise from the contaminated speech and improve its clarity. …"
  18. 18
  19. 19

    On the Optimization of Band Gaps in Periodic Waveguides حسب Jamil Renno (14070771)

    منشور في 2025
    "…For the first optimization scenario, distribution-free analysis showed that at intermediate function evaluation budgets, detectable differences emerge among algorithms, whereas in the second scenario, these differences diminish at higher evaluation budgets (with no significant pairwise contrasts), indicating convergence. …"
  20. 20

    A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method حسب Amit Kumar Balyan (18288964)

    منشور في 2022
    "…In the next phase, an IRF eliminates the less significant attributes, incorporates a list of decision trees across each iterative process, supervises the classifier’s performance, and prevents overfitting issues. …"