بدائل البحث:
algorithm optimization » algorithm optimizer (توسيع البحث)
يعرض 61 - 80 نتائج من 209 نتيجة بحث عن 'genetic ((algorithm optimization) OR (algorithm ((optimizer OR optimize) OR optimized)))', وقت الاستعلام: 0.11s تنقيح النتائج
  1. 61

    Using artificial bee colony to optimize software quality estimation models. (c2015) حسب Abou Assi, Tatiana Antoine

    منشور في 2016
    "…We compare our models to others constructed using other well established techniques such as C4.5, Genetic Algorithms, Simulated Annealing, Tabu Search, multi-layer perceptron with back-propagation, multi-layer perceptron hybridized with ABC and the majority classifier. …"
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    masterThesis
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    Genetic algorithms applications in load frequency control حسب Abdel-Magid, Y.L.

    منشور في 1995
    "…This paper deals with the application of genetic algorithms for optimizing the parameters of conventional automatic generation control (AGC) systems. …"
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    article
  5. 65

    A New Parallel Genetic Algorithm Model حسب Al-Somani, Turki F.

    منشور في 2020
    "…This paper presents an implementation of three Genetic Algorithm models for solving a reliability optimization problem for a redundancy system with several failure modes, a modification on a parallel a genetic algorithm model and a new parallel genetic algorithm model. …"
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    article
  6. 66

    Parametric Design Optimization in Sustainable Urban Design: In Hot Climate حسب Musleh, Mousa A. M.

    منشور في 2012
    "…This research employs Genetic algorithms as the computational design methodology to achieve parametric design optimization to design for a more sustainable cities and urban. …"
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    An Uncertainty Based Genetic Algorithm Approach for Project Resource Scheduling حسب ALKETBI, SAIF

    منشور في 2016
    "…The results showed the proposed methodology outperformed existing algorithms in optimizing project durations and resources allocation. …"
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  10. 70

    Fuzzy simulated evolution for power and performance optimization ofVLSI placement حسب Sait, Sadiq M.

    منشور في 2001
    "…This is a hard multiobjective combinatorial optimization problem with no known exact and efficient algorithm that can guarantee finding a solution of specific or desirable quality. …"
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    article
  11. 71

    Energy removal in dynamical systems through an optimal sequence of constraint application حسب Issa, Jimmy

    منشور في 2017
    "…The optimization process is illustrated by means of simple mass-spring and membrane systems and the corresponding problems are solved using a genetic algorithm.…"
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    conferenceObject
  12. 72

    Control of nonlinear dynamical systems using genetic algorithms حسب Al-Duwaish, H.N.

    منشور في 1997
    "…This paper introduces a new method for the control of nonlinear systems using genetic algorithms. The proposed method formulates the nonlinear controller design as an optimization problem and genetic algorithms are used in the optimization process. …"
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    article
  13. 73

    Capturing outline of fonts using genetic algorithm and splines حسب Sarfraz, M.

    منشور في 2001
    "…We present a method to convert the original problem into a discrete combinatorial optimization problem and solve it by a genetic algorithm. …"
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    article
  14. 74

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

    منشور في 1997
    "…This paper presents a new genetic algorithm approach to solve the unit commitment problem in electric power systems. …"
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    article
  15. 75

    Timing driven genetic algorithm for standard-cell placement حسب Sait, Sadiq M.

    منشور في 1995
    "…As the algorithm starts converging toward generations with acceptable delay properties, the objective is dynamically adjusted toward optimizing area and routability. …"
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    article
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    A hybrid model for the optimum integration of renewable technologies in power generation systems حسب Poullikkas, Andreas

    منشور في 2011
    "…The main purpose of this work is to assess the unavoidable increase in the cost of electricity of a generation system by the integration of the necessary renewable energy sources for power generation (RES-E) technologies in order for the European Union Member States to achieve their national RES energy target. The optimization model developed uses a genetic algorithm (GA) technique for the calculation of both the additional cost of electricity due to the penetration of RES-E technologies as well as the required RES-E levy in the electricity bills in order to fund this RES-E penetration. …"
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    article
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