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Showing 1 - 20 results of 259 for search '(((( complement 5a algorithm ) OR ( experiments _ algorithm ))) OR ( level scheduling algorithm ))', query time: 0.13s Refine Results
  1. 1
    Scheduling and allocation in high-level synthesis using genetic algorithm

    Scheduling and allocation in high-level synthesis using genetic algorithm by Ali, Shahid

    Published 1994
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  2. 2
    Activity-level space scheduling

    Activity-level space scheduling by Zouein, Pierrette P.

    Published 1992
    “…Activity-level space scheduling involves allocating site space over time to static and dynamic construction resources such as robots. …”
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  3. 3
    Parallel Algorithms for Distinguishing Nondeterministic Finite State Machines

    Parallel Algorithms for Distinguishing Nondeterministic Finite State Machines by Ali, Mustafa

    Published 2015
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  4. 4
    Loop based scheduling for high level synthesis

    Loop based scheduling for high level synthesis by Al-Sukhni, H.F.

    Published 1995
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  5. 5
    Improvement Algorithm for Limited Space Scheduling

    Improvement Algorithm for Limited Space Scheduling by Zouein, Pierrette

    Published 2001
    “…The model characterizes resource space requirements over time and establishes a time-space relationship for each activity in the schedule, based on alternative resource levels. An example illustrates the presented algorithm that generates a feasible space schedule.…”
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  6. 6
    Energy-Aware Qos Scheduling at Mac Level in Wimax

    Energy-Aware Qos Scheduling at Mac Level in Wimax by Al Nourani , Sanabel

    Published 2011
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  7. 7
    Scheduling and allocation in high-level synthesis using stochastic techniques

    Scheduling and allocation in high-level synthesis using stochastic techniques by Sait, Sadiq M.

    Published 2020
    “…In this work, a unique approach to scheduling and allocation problem using the genetic algorithm (GA) is described. …”
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  8. 8
    Computational Experience On Four Algorithms For The Hard Clustering Problem

    Computational Experience On Four Algorithms For The Hard Clustering Problem by AlSultan, K.S.

    Published 2020
    “…We test these algorithms on several clustering problems from the literature as well as several random problems and we report on our computational experience.…”
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  9. 9
    Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing

    Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing by Al Sadawi, Alia

    Published 2016
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  10. 10
    Concurrent BIST Synthesis and Test Scheduling Using Genetic Algorithms

    Concurrent BIST Synthesis and Test Scheduling Using Genetic Algorithms by Harmanani, H. M.

    Published 2007
    “…This paper presents an efficient method for concurrent built-in self-test synthesis and test scheduling in high-level synthesis. The method maximizes concurrent testing of modules while performing the allocation of functional units, test registers, and interconnects. …”
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  11. 11
    Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain

    Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain by Al Sadawi, Alia

    Published 2021
    “…An iterative dynamic scheduling algorithm (DCSDBP) was developed to address the data batching process. …”
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  12. 12
    On-site workshop investment problem: A novel mathematical approach and solution procedure

    On-site workshop investment problem: A novel mathematical approach and solution procedure by Nima Moradi (19418821)

    Published 2023
    “…However, considering the OSW, which has not been addressed in the project scheduling problems, requires the construction site to have a space capacity constraint while considering the workshop size, availability level, and other project-related constraints. …”
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  13. 13
    Efficient Algorithms for Constructing Preset Distinguishing Sequences for Nondeterministic Finite State Machines

    Efficient Algorithms for Constructing Preset Distinguishing Sequences for Nondeterministic Finite State Machines by Haddad, Abdul Rahim

    Published 2016
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  14. 14
    Tensile Test Optimization Using the Design of Experiment and Soft Computing

    Tensile Test Optimization Using the Design of Experiment and Soft Computing by Mehdi Moayyedian (14880358)

    Published 2023
    “…This study employs a hybrid soft computing approach, integrating an adaptive network-based fuzzy inference system (ANFIS), genetic algorithm (GA) optimization, and design of experiments (DOE). …”
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  15. 15
    MoveSchedule

    MoveSchedule by Zouein, Pierette

    Published 1995
    “…MoveSchedule establishes a time-space relationship for each activity in the schedule based on alternative resource levels so that tradeoffs between activity duration and space need on site are possible. …”
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  16. 16
    Meta-Heuristic Procedures for the Multi-Resource Leveling Problem with Activity Splitting

    Meta-Heuristic Procedures for the Multi-Resource Leveling Problem with Activity Splitting by AlSayegh, Hadeel Yacoub

    Published 2011
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  17. 17
    A Framework for Predictive Modeling in Sustainable Projects

    A Framework for Predictive Modeling in Sustainable Projects by Labban, Tarek

    Published 2012
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  18. 18
    Deep Reinforcement Learning for Resource Constrained HLS Scheduling

    Deep Reinforcement Learning for Resource Constrained HLS Scheduling by Makhoul, Rim

    Published 2022
    “…High-level synthesis (HLS) scheduling, an NP-hard problem, is a process that auto-mates VLSI design and is a very important step in silicon compilation. …”
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  19. 19
    A novel approach for real time flows scheduling

    A novel approach for real time flows scheduling by Fawaz, W.

    Published 2006
    “…A plethora of packet-scheduling algorithms have been proposed in the literature in order to meet the stringent time constraints of real time flows at an IP router level. …”
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  20. 20
    Video features with impact on user quality of experience

    Video features with impact on user quality of experience by Abbas, Nadine

    Published 2021
    “…One of the major challenges in wireless networks is to quantify and evaluate the user quality of experience (QoE). Hence, network operators are continuously working towards identifying the factors that most affect the user quality of experience for better network resource management. …”
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