Showing 1 - 20 results of 353 for search '(( algorithm where function ) OR ( ((algorithm _) OR (algorithm its)) function ))', query time: 0.12s Refine Results
  1. 1
  2. 2

    Evolutionary algorithm for protein structure prediction by Mansour, Nashat

    Published 2010
    “…A protein is characterized by its 3D structure, which defines its biological function. …”
    Get full text
    Get full text
    Get full text
    Get full text
    conferenceObject
  3. 3
  4. 4
  5. 5
  6. 6

    Salp swarm algorithm: survey, analysis, and new applications by Abualigah, Laith

    Published 2024
    “…The behavior of the species when traveling and foraging in the waters is the main source of SSA and MSSA. These two algorithms are put to test on a variety of mathematical optimization functions to see how they behave when it comes to finding the best solutions to optimization problems. …”
    Get full text
  7. 7

    Optimization of Support Structures for Offshore Wind Turbines using Genetic Algorithm with Domain-Trimming (GADT) by AlHamaydeh, Mohammad

    Published 2017
    “…The two versions of the optimization problem are nonlinearly constrained where the objective function is the material weight of the supporting truss. …”
    Get full text
    article
  8. 8
  9. 9

    New enumeration algorithm for regular boolean functions by Nasrallah, Walid F.

    Published 2018
    “…This paper introduces a new algorithm for enumerating regular Boolean functions. …”
    Get full text
    Get full text
    Get full text
    Get full text
    conferenceObject
  10. 10

    An improved kernelization algorithm for r-Set Packing by Abu-Khzam, Faisal N.

    Published 2010
    “…We present a reduction procedure that takes an arbitrary instance of the r -Set Packing problem and produces an equivalent instance whose number of elements is in O(kr−1), where k is the input parameter. Such parameterized reductions are known as kernelization algorithms, and a reduced instance is called a problem kernel. …”
    Get full text
    Get full text
    Get full text
    article
  11. 11
  12. 12

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

    Published 2017
    “…The most common cryptographic algorithm used for this function is RSA. If we double the key length in RSA to have more secure communication, then it is known that the time needed for the encryption and decryption will be increased approximately eight times. …”
    Get full text
    Get full text
    Get full text
    Get full text
    conferenceObject
  13. 13
  14. 14

    A New Penalty Function Algorithm For Convex Quadratic Programming by Bendaya, M.

    Published 2020
    “…In this paper, we develop an exterior point algorithm for convex quadratic programming using a penalty function approach. …”
    Get full text
    article
  15. 15

    Synthesis of MVL Functions - Part I: The Genetic Algorithm Approach by Sarif, Bambang

    Published 2006
    “…None of these algorithms provides absolute optimum results for synthesis of these functions. …”
    Get full text
    Get full text
    article
  16. 16
  17. 17

    A comparative study of RSA based digital signature algorithms by Haraty, Ramzi A.

    Published 2006
    “…We implement the classical and modified RSA cryptosystem to compare and to test their functionality, reliability and security. To test the security of the algorithms we implement attack algorithms to solve the factorization problem in Z, Z[<i>i</i>] and F[<i>x</i>]. …”
    Get full text
    Get full text
    Get full text
    Get full text
    article
  18. 18

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

    Published 2022
    “…The results show that the performance of the SCA-βHC algorithm is increased by tuning its parameters in proper value. …”
    Get full text
  19. 19

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

    Published 2020
    “…Abstract Evolutionary algorithms, simulated annealing (SA), and tabu search (TS) are general iterative algorithms for combinatorial optimization. …”
    Get full text
    article
  20. 20

    Convergence analysis of the variable weight mixed-norm LMS-LMFadaptive algorithm by Zerguine, A.

    Published 2000
    “…In this work, the convergence analysis of the variable weight mixed-norm LMS-LMF (least mean squares-least mean fourth) adaptive algorithm is derived. The proposed algorithm minimizes an objective function defined as a weighted sum of the LMS and LMF cost functions where the weighting factor is time varying and adapts itself so as to allow the algorithm to keep track of the variations in the environment. …”
    Get full text
    Get full text
    article