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  1. 1

    Stochastic Search Algorithms for Exam Scheduling by Mansour, Nashat

    Published 2007
    “…In this work, we use a modified weighted-graph coloring problem formulation and adapt two stochastic search algorithms for solving the problem. The two algorithms are a simulated annealing algorithm (SA) and a genetic algorithm (GA). …”
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    article
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    Upgraded SemIndex Prototype Supporting Intelligent Database Keyword Queries through Disambiguation, Query as You Type, and Parallel Search Algorithms by Tekli, Joe

    Published 2018
    “…Various weighting functions and intelligent search algorithms have been developed for that purpose and will be presented here. …”
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    conferenceObject
  4. 4

    Evolution Of Activation Functions for Neural Architecture Search by Nader, Andrew

    Published 2020
    “…In this work, we propose the use of a self-adaptive evolutionary algorithm that searches for new activation functions using a genetic programming approach, and we compare the performance of the obtained activation functions to ReLU. …”
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    masterThesis
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    MSD-NAS: multi-scale dense neural architecture search for real-time pedestrian lane detection by Sui Paul Ang (18460605)

    Published 2023
    “…This paper proposes a novel neural architecture search (NAS) algorithm, named MSD-NAS, to automate this laborious task. …”
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    Timing driven genetic algorithm for standard-cell placement by Sait, Sadiq M.

    Published 1995
    “…In this paper we present a timing-driven placer for standard-cell IC design. The placement algorithm follows the genetic paradigm. At early generations, the search is biased toward solutions with superior timing characteristics. …”
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    article
  8. 8

    Physical optimization algorithms for mapping data to distributed-memory multiprocessors by Mansour, Nashat

    Published 1992
    “…The technique proposed for large problems is based on a pre-mapping graph contraction heuristic algorithm, which results in a smaller search space. …”
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    masterThesis
  9. 9

    A distributed genetic algorithm for deterministic and stochastic labor scheduling problems by Mansour, Nashat

    Published 1999
    “…However, most enter the population as-is, carrying an appropriate fitness penalty. This allows DGA to exploit potentially favorable adaptations that might be present in infeasible solutions while orienting the locus of the search near the feasible region. …”
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  10. 10

    A hybridization of evolution strategies with iterated greedy algorithm for no-wait flow shop scheduling problems by Bilal Khurshid (16715865)

    Published 2024
    “…The IG algorithm’s straightforward search mechanism aids in further improving the solution and avoiding local minima. …”
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    Novel Peak Detection Algorithms for Pileup Minimization in Gamma Ray Spectroscopy by Raad, M.W.

    Published 2006
    “…The classification technique has the unique feature of cutting down the computation largely by only allowing the event of interest to be executed by a particular algorithm. …”
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    article
  12. 12

    PILE-UP FREE PARAMETER ESTIMATION AND DIGITAL ONLINE PEAK LOCALIZATION ALGORITHMS FOR GAMMA RAY SPECTROSCOPY by Noras, J.M.

    Published 2020
    “…The classification technique has the unique feature of cutting down the computation largely by only allowing the event of interest to be executed by a particular algorithm. …”
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    article
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    Timing influenced general-cell genetic floorplanner by Sait, Sadiq M.

    Published 2020
    “…In the first phase we use the genetic algorithm and restrict the modules to be rigid and the floorplan to have slicing structure. …”
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    article
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    A 3-D vision-based man-machine interface for hand-controlled telerobot by Al-Mouhamed, M.A.

    Published 2005
    “…Running the tracking algorithm on two PCs in parallel allowed: 1) a parallel image grabbing delay of 60 ms; 2) a stereo matching delay of 50 ms; and 3) a global refresh rate of 9 Hz.…”
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    article
  18. 18

    Robust tuning of power system stabilizers in multimachine powersystems by Abdel-Magid, Y.L.

    Published 2000
    “…The problem of selecting the stabilizer parameters is converted to a simple optimization problem with an eigenvalue-based objective function, which is solved by a tabu search algorithm. The objective function allows the selection of the stabilizer parameters to optimally place the closed-loop eigenvalues in the left-hand side of a vertical line in the complex s-plane. …”
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    article
  19. 19

    SemIndex+: A semantic indexing scheme for structured, unstructured, and partly structured data by Tekli, Joe

    Published 2018
    “…Various weighting functions and a parallelized search algorithm have been developed for that purpose and are presented here. …”
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    article
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    Artificial Intelligence in Predicting Cardiac Arrest: Scoping Review by Asma Alamgir (18288895)

    Published 2021
    “…Early prediction of cardiac arrest is important, as it allows for the necessary measures to be taken to prevent or intervene during the onset. …”