يعرض 1 - 20 نتائج من 172 نتيجة بحث عن '(( algorithm ((its function) OR (most function)) ) OR ( algorithm cost function ))', وقت الاستعلام: 0.15s تنقيح النتائج
  1. 1

    Improving the Secure Socket Layer Protocol by modifying its Authentication function حسب El-Kassar, A. N.

    منشور في 2017
    "…It is used to allow the client to identify the server and optionally allow the server to identify the client. The most common cryptographic algorithm used for this function is RSA. …"
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    احصل على النص الكامل
    conferenceObject
  2. 2

    Distributed optimal coverage control in multi-agent systems: Known and unknown environments حسب Mohammadhasan Faghihi (22303057)

    منشور في 2024
    "…The proposed approach leverages a novel cost function for optimizing the agents’ coverage and the cost function eventually aligns with the conventional Voronoi-based cost function. …"
  3. 3

    Optimum Track to Track Fusion Using CMA-ES and LSTM Techniques حسب Fares, Samar

    منشور في 2024
    "…An objective function utilizing the covariance of the fused tracks is used by the first algorithm while a cost function based on the Kullback-Leibler (KL) divergence measure is used in the second case for training the LSTM. …"
    احصل على النص الكامل
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8

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

    منشور في 2023
    "…The effectiveness and dependability of the proposed hash function are evaluated by comparing it with two well-known hash algorithms, namely SHA-3 and SHA-2, as well as several other Chaos-based hash algorithms. …"
  9. 9

    Application of Red Deer Algorithm in Optimizing Complex functions حسب Zitar, Raed

    منشور في 2021
    "…The Red Deer algorithm (RDA), a recently developed population-based meta-heuristic algorithm, is examined in this paper with the optimization task of complex functions. …"
    احصل على النص الكامل
    احصل على النص الكامل
  10. 10

    ANT-colony optimization-direct torque control for a doubly fed induction motor : An experimental validation حسب Said Mahfoud (17150968)

    منشور في 2022
    "…The new combined ACO-DTC strategy has been studied for optimizing the gains of the PID controller by using a cost function such as Integral Square Error (ISE). …"
  11. 11
  12. 12
  13. 13
  14. 14
  15. 15

    Economic load dispatch using memetic sine cosine algorithm حسب Abu Zitar, Raed

    منشور في 2022
    "…The results show that the performance of the SCA-βHC algorithm is increased by tuning its parameters in proper value. …"
    احصل على النص الكامل
  16. 16
  17. 17

    Evolutionary algorithms, simulated annealing and tabu search: a comparative study حسب Youssef, H.

    منشور في 2020
    "…The termevolutionary algorithmis used to refer to any probabilistic algorithmwhose design is inspired by evolutionary mechanisms found in biological species. Most widely known algorithms of this category are genetic algorithms (GA). …"
    احصل على النص الكامل
    article
  18. 18

    Modified arithmetic optimization algorithm for drones measurements and tracks assignment problem حسب Abu Zitar, Raed

    منشور في 2023
    "…In particular, a new modified method based on the Arithmetic Optimization Algorithm is proposed. The optimization is applied to a formulated cost function that considers uncertainty, false alarms, and existing clutters. …"
    احصل على النص الكامل
  19. 19

    Don't understand a measure? Learn it: Structured Prediction for Coreference Resolution optimizing its measures حسب Iryna Haponchyk (19691701)

    منشور في 2017
    "…Most interestingly, we show that such functions can be (i) automatically learned also from controversial but commonly accepted coreference measures, e.g., MELA, and (ii) successfully used in learning algorithms. …"
  20. 20

    An enhanced binary Rat Swarm Optimizer based on local-best concepts of PSO and collaborative crossover operators for feature selection حسب Abu Zitar, Raed

    منشور في 2022
    "…The binary enhanced RSO is built based on three successive modifications: i) an S-shape transfer function is used to develop binary RSO algorithms; ii) the local search paradigm of particle swarm optimization is used with the iterative loop of RSO to boost its local exploitation; iii) three crossover mechanisms are used and controlled by a switch probability to improve the diversity. …"