يعرض 1 - 20 نتائج من 351 نتيجة بحث عن '(( ((algorithm shows) OR (algorithm using)) function ) OR ( algorithm a function ))', وقت الاستعلام: 0.13s تنقيح النتائج
  1. 1

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

    منشور في 2006
    "…The results obtained show that the introduced algorithm outperforms the deterministic technique based on the direct cover approach [3] in terms of the average number of product terms required to realize a given MVL function.…"
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    article
  2. 2

    Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems حسب Abualigah, Laith

    منشور في 2023
    "…Recently, optimization problems have been revised in many domains, and they need powerful search methods to address them. In this paper, a novel hybrid optimization algorithm is proposed to solve various benchmark functions, which is called IPDOA. …"
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  3. 3

    Multi-Target Tracking Resources Allocation Using Multi-Agent Modeling and Auction Algorithm حسب De Rochechouart, Maxence

    منشور في 2023
    "…The target dynamics, the sensor selection, and the measurements are simulated by way of an agent-based modeling framework called MESA. The results show an optimum resource allocation with an information-based cost function that is optimized by an Auction Algorithm.…"
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    A New Penalty Function Algorithm For Convex Quadratic Programming حسب Bendaya, M.

    منشور في 2020
    "…In this paper, we develop an exterior point algorithm for convex quadratic programming using a penalty function approach. …"
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    article
  6. 6

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

    منشور في 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. …"
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  7. 7

    Logarithmic spiral search based arithmetic optimization algorithm with selective mechanism and its application to functional electrical stimulation system control حسب Abu Zitar, Raed

    منشور في 2022
    "…The constructed Ls-AOA algorithm was then proposed to design a proportional-integral-derivative (PID) controller employed in a functional electrical stimulation (FES) system for the first time. …"
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    Optimization of Support Structures for Offshore Wind Turbines using Genetic Algorithm with Domain-Trimming (GADT) حسب AlHamaydeh, Mohammad

    منشور في 2017
    "…The resulting adaptive, high-performance technique is called Genetic Algorithm with Domain-Trimming (GADT). As a proof of concept, the GADT is applied to a widely used benchmark problem. …"
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    article
  9. 9

    Improved Reptile Search Algorithm by Salp Swarm Algorithm for Medical Image Segmentation حسب Abualigah, Laith

    منشور في 2023
    "…This study proposes a novel nature-inspired meta-heuristic optimizer based on the Reptile Search Algorithm combed with Salp Swarm Algorithm for image segmentation using gray-scale multi-level thresholding, called RSA-SSA. …"
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  10. 10

    A new reactive power optimization algorithm حسب Mantawy, A.H.

    منشور في 2003
    "…This paper presents an algorithm for optimizing reactive power using particle swarm algorithm. …"
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    article
  11. 11

    BUC algorithm for iceberg cubes حسب Nasr, George E.

    منشور في 2003
    "…The Uniform distribution is used as a basis for comparison. Results show that when the cube is sparse there is a correlation between the data distribution and the running time of the algorithm. …"
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    Economic load dispatch using memetic sine cosine algorithm حسب Abu Zitar, Raed

    منشور في 2022
    "…In this paper, the economic load dispatch (ELD) problem which is an important problem in electrical engineering is tackled using a hybrid sine cosine algorithm (SCA) in a form of memetic technique. …"
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  15. 15

    Metaheuristic Algorithm for State-Based Software Testing حسب Haraty, Ramzi A.

    منشور في 2018
    "…We formulate the testing problem as an optimization problem and use a simulated annealing (SA) metaheuristic algorithm to generate test cases as sequences of events while keeping the test suite size reasonable. …"
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    article
  16. 16

    A new genetic algorithm approach for unit commitment حسب Mantawy, A.H.

    منشور في 1997
    "…The former is solved using the proposed genetic algorithm while the latter problem is solved via a quadratic programming routine. …"
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    article
  17. 17

    Tracking analysis of normalized adaptive algorithms حسب Moinuddin, M.

    منشور في 2003
    "…Close agreement between analytical analysis and simulation results is obtained for the case of the NLMS algorithm. The results show that, unlike the stationary case, the steady-state excess-mean-square error is not a monotonically increasing function of the step-size, while the ability of the adaptive algorithm to track the variations in the environment degrades by increasing the frequency offset.…"
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    article
  18. 18

    A non-convex economic load dispatch problem using chameleon swarm algorithm with roulette wheel and Levy flight methods حسب Abu Zitar, Raed

    منشور في 2023
    "…In this paper, several enhancements were made to this algorithm. First, it’s position updating process was slightly tweaked and took advantage of the chameleons’ randomization as well as adopting several time-varying functions. …"
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  19. 19

    A genetic-based algorithm for fuzzy unit commitment model حسب Mantawy, A.H.

    منشور في 2000
    "…The model takes the uncertainties in the forecasted load demand and the spinning reserve constraints in a fuzzy frame. The genetic algorithm (GA) approach is then used to solve the proposed fuzzy UCP model. …"
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    article
  20. 20

    Robust Coordinated Design of Excitation and TCSC-Based Stabilizers Using genetic algorithms حسب Abdel-Magid, Y. L.

    منشور في 2004
    "…The coordinated design problem of robust excitation and TCSC-based controllers over a wide range of loading conditions and system configurations is formulated as an optimization problem with an eigenvalue-based objective function. …"
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    article