بدائل البحث:
unconstrained » constrained (توسيع البحث)
يعرض 481 - 500 نتائج من 542 نتيجة بحث عن '(( unconstrained optimization algorithm ) OR ( based optimization algorithm ))', وقت الاستعلام: 0.14s تنقيح النتائج
  1. 481

    Multidimensional Gains for Stochastic Approximation حسب Saab, Samer S.

    منشور في 2019
    "…The two algorithms assume full knowledge of the Jacobian. The recursive algorithms are proposed for generating the optimal iterative-dependent matrix gain. …"
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    article
  2. 482

    Performance driven standard-cell placement using the geneticalgorithm حسب Youssef, H.

    منشور في 1995
    "…In this paper we present a timing-driven placer for standard-cell IC design. The placement algorithm follows the genetic paradigm. Besides optimizing for area and wire length, the placer minimizes the propagation delays on a predicted set of critical paths. …"
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    article
  3. 483

    An evolutionary meta-heuristic for state justification insequential automatic test pattern generation حسب El-Maleh, A.H.

    منشور في 2001
    "…Evolutionary algorithms have been effective in solving many search and optimization problems. …"
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    article
  4. 484

    Iterative heuristics for multiobjective VLSI standard cellplacement حسب Sait, Sadiq M.

    منشور في 2001
    "…We employ two iterative heuristics for the optimization of VLSI standard cell placement. These heuristics are based on genetic algorithms (GA) and tabu search (TS) respectively. …"
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    article
  5. 485

    The bus sightseeing problem حسب Qian Hu (205735)

    منشور في 2023
    "…A mixed-integer programming formulation for the BSP is provided and solved by a Benders decomposition algorithm. For large-scale instances, an iterated local search based metaheuristic algorithm is developed with some tailored neighborhood operators. …"
  6. 486

    Traffic Offloading with Channel Allocation in Cache-Enabled Ultra-Dense Wireless Networks حسب Abbas, Nadine

    منشور في 2018
    "…We also propose efficient sub-optimal hierarchical tree-based algorithms that operate in real time with dynamic and fast solutions for ultra dense networks. …"
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    article
  7. 487

    Differential Evolution and Its Applications in Image Processing Problems: A Comprehensive Review حسب Chakraborty, Sanjoy

    منشور في 2022
    "…Differential evolution (DE) is one of the highly acknowledged population-based optimization algorithms due to its simplicity, user-friendliness, resilience, and capacity to solve problems. …"
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  8. 488

    EVOLUTIONARY HEURISTICS FOR MULTIOBJECTIVE VLSI NETLIST BI-PARTITIONING حسب Sait, Sadiq M.

    منشور في 2020
    "…These heuristics are based on Genetic Algorithms (GAs) and Tabu Search (TS) [sadiq et al., 1999] respectively. …"
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    article
  9. 489

    Design and simulation of superdirective adaptive antenna arrays حسب Dawoud, M.M.

    منشور في 1990
    "…These characteristics were made possible by means of both amplitude and phase variations, based on predetermined optimized array polynomials. …"
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    article
  10. 490

    User-centric strategies for resource management in heterogeneous wireless networks with QoS considerations حسب Abbas, Nadine Fawaz

    منشور في 2017
    "…Due to the complexity of the problem, we design sub-optimal hierarchical tree-based algorithms for real-time operation taking into account realistic constraints. …"
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    masterThesis
  11. 491
  12. 492

    General iterative heuristics for VLSI multiobjective partitioning حسب Sait, Sadiq M.

    منشور في 2003
    "…In this paper, we engineer two iterative heuristics for the optimization of VLSI netlist bi-Partitioning. These heuristics are based on Genetic Algorithms (GAs) and Tabu Search (TS) and incorporate fuzzy rules in order to handle the multiobjective cost function. …"
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    article
  13. 493

    Convergence of Photovoltaic Power Forecasting and Deep Learning: State-of-Art Review حسب Mohamed Massaoudi (16888710)

    منشور في 2021
    "…In addition, this review analyzes recent automatic architecture optimization algorithms for DL-based PVPF. Next, the notable DL technologies are thoroughly described. …"
  14. 494

    Scatter search technique for exam timetabling حسب Mansour, Nashat

    منشور في 2011
    "…We evaluate our suggested technique on real-world university data and compare our results with the registrar’s manual timetable in addition to the timetables of other heuristic optimization algorithms. The experimental results show that our adapted scatter search technique generates better timetables than those produced by the registrar, manually, and by other meta-heuristics.…"
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    article
  15. 495

    Enhancement of power system dynamic performance through an on-line self-tuning adaptive SVC controller حسب Rahim, A.H.M.A.

    منشور في 2006
    "…Use of a self-tuning adaptive control algorithm as a supplementary controller for the SVC is presented in this article. …"
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    article
  16. 496

    Digital Image Watermarking Using Balanced Multiwavelets حسب Ghouti, L.

    منشور في 2006
    "…In this paper, a robust watermarking algorithm using balanced multiwavelet transform is proposed. …"
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    article
  17. 497

    A comprehensive review of deep reinforcement learning applications from centralized power generation to modern energy internet frameworks حسب Sakib Mahmud (15302404)

    منشور في 2025
    "…We present a structured taxonomy covering value-based, policy-based, actor-critic, model-based, and advanced multi-agent and multi-objective approaches, and link algorithms to tasks such as dispatch, microgrid coordination, real-time pricing, load balancing, and demand–response. …"
  18. 498

    Design of a vibration absorber for harmonically forced damped systems حسب Issa, Jimmy

    منشور في 2013
    "…Two different numerical approaches are used in solving the problem; the first is based on the genetic algorithm technique and the second on the downhill simplex method. …"
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  19. 499

    A matheuristic approach for solving the 2-connected dominating set problem حسب Raka Jovanovic (17947838)

    منشور في 2019
    "…The goal of the proposed method is to find near optimal solutions for large graphs. The algorithm is based on a Greedy Randomized Adaptive Search Procedure (GRASP). …"
  20. 500