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Showing 1 - 20 results of 60 for search '(((( element mould algorithm ) OR ( complement rd algorithm ))) OR ( cells using algorithms ))', query time: 0.12s Refine Results
  1. 1
    Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network

    Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network by Mohammad Reza Chalak Qazani (13893261)

    Published 2024
    “…Additionally, the multi-objective genetic algorithm (MOGA) was utilised to extract the most optimal parameters for the injection moulding process, aiming to minimise shear and residual stress and thereby increase the resistance of the final product. …”
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  2. 2
    Parameter identification of PV solar cells and modules using bio dynamics grasshopper optimization algorithm

    Parameter identification of PV solar cells and modules using bio dynamics grasshopper optimization algorithm by Mostafa Jabari (21841727)

    Published 2024
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  3. 3
    Fuzzy simulated evolution algorithm for VLSI cell placement

    Fuzzy simulated evolution algorithm for VLSI cell placement by Sait, Sadiq M.

    Published 2003
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  4. 4
    A parallel tabu search algorithm for VLSI standard-cell placement

    A parallel tabu search algorithm for VLSI standard-cell placement by Suit, S.M.

    Published 2000
    “…In this work, tabu search placement algorithm is parallelized on a network of workstations using PVM. …”
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  5. 5
    Genetic Algorithm Control Strategy for Heat Pump System in Battery Electric Buses

    Genetic Algorithm Control Strategy for Heat Pump System in Battery Electric Buses by Al Haddad, Rabih

    Published 2020
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  6. 6
    Performance driven standard-cell placement using the geneticalgorithm

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

    Published 1995
    “…In this paper we present a timing-driven placer for standard-cell IC design. The placement algorithm follows the genetic paradigm. …”
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  7. 7
    High-Accurate Parameter Identification of PEMFC Using Advanced Multi-Trial Vector-Based Sine Cosine Meta-Heuristic Algorithm

    High-Accurate Parameter Identification of PEMFC Using Advanced Multi-Trial Vector-Based Sine Cosine Meta-Heuristic Algorithm by Badreddine Kanouni (23073244)

    Published 2025
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  8. 8
    Optimization of Commercially Off the Shelf (COTS) Electric Propulsion System for Low Speed Fuel Cell UAV

    Optimization of Commercially Off the Shelf (COTS) Electric Propulsion System for Low Speed Fuel Cell UAV by Zulkifli, Muhammad

    Published 2013
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  9. 9
    Optimal scheduling algorithm for residential building distributed energy source systems using Levy flight and chaos-assisted artificial rabbits optimizer

    Optimal scheduling algorithm for residential building distributed energy source systems using Levy flight and chaos-assisted artificial rabbits optimizer by D., Sathish Kumar

    Published 2023
    “…This study describes a residential thermal/electrical home energy system comprising a battery energy storage system and a combined heat and power fuel cell. The optimal planning of various energy resources is scheduled by a new optimization algorithm called Levy Flight and Chaos-assisted Artificial Rabbits Optimization (LFCARO), resulting in the lowest operational cost of this combined power system. …”
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  10. 10
    Optimal scheduling algorithm for residential building distributed energy source systems using Levy flight and chaos-assisted artificial rabbits optimizer

    Optimal scheduling algorithm for residential building distributed energy source systems using Levy flight and chaos-assisted artificial rabbits optimizer by M. Premkumar (12757280)

    Published 2023
    “…This study describes a residential thermal/electrical home energy system comprising a battery energy storage system and a combined heat and power fuel cell. The optimal planning of various energy resources is scheduled by a new optimization algorithm called Levy Flight and Chaos-assisted Artificial Rabbits Optimization (LFCARO), resulting in the lowest operational cost of this combined power system. …”
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  11. 11
    Automatic White Blood Cell Differential Classification

    Automatic White Blood Cell Differential Classification by Al-Muhairy, Juma A. Bin Darwish

    Published 2005
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  12. 12
    Timing influenced general-cell genetic floorplanner

    Timing influenced general-cell genetic floorplanner by Sait, Sadiq M.

    Published 2020
    “…The first phase is implemented using genetic algorithm while in the second phase we adopt a constraint graph based approach. …”
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  13. 13
    Timing influenced general-cell genetic floorplanner

    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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  14. 14
    Leveraging UAVs for Coverage in Cell-Free Vehicular Networks

    Leveraging UAVs for Coverage in Cell-Free Vehicular Networks by Samir, Moataz

    Published 2020
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  15. 15
    A Parallel Tabu Search Algorithm for Optimizing Multiobjective VLSI Placement

    A Parallel Tabu Search Algorithm for Optimizing Multiobjective VLSI Placement by Minhas, Mahmood R.

    Published 2005
    “…In this paper, we present a parallel tabu search (TS) algorithm for efficient optimization of a constrained multiobjective VLSI standard cell placement problem. …”
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  16. 16
    Development of an Optimization Scheme for A Fixed-Wing UAV Long Endurance with PEMFC and Battery

    Development of an Optimization Scheme for A Fixed-Wing UAV Long Endurance with PEMFC and Battery by Al Rayes, Zaid

    Published 2018
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  17. 17
    Ultra-small cell networks with collaborative RF and lightwave power transfer

    Ultra-small cell networks with collaborative RF and lightwave power transfer by Tran, HA-Vu

    Published 2019
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  18. 18
    Fast force-directed/simulated evolution hybrid for multiobjective VLSI cell placement

    Fast force-directed/simulated evolution hybrid for multiobjective VLSI cell placement by Sait, Sadiq M.

    Published 2004
    “…VLSI standard cell placement is a hard optimization problem, which is further complicated with new issues such as power dissipation and performance. …”
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  19. 19
    Parallelization of Iterative Heuristic for Performance-Driven Low-Power VLSI Standard Cell Placement.

    Parallelization of Iterative Heuristic for Performance-Driven Low-Power VLSI Standard Cell Placement. by Syed, Sanaullah/SS

    Published 2003
    “…In this work, the development of parallel algorithms for Tabu Search, applied on multi-objective VLSI cell-placement problem is presented. …”
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  20. 20
    FAST FUZZY FORCE-DIRECTED/SIMULATED EVOLUTION METAHEURISTIC FOR MULTIOBJECTIVE VLSI CELL PLACEMENT

    FAST FUZZY FORCE-DIRECTED/SIMULATED EVOLUTION METAHEURISTIC FOR MULTIOBJECTIVE VLSI CELL PLACEMENT by Sait, Sadiq M.

    Published 2006
    “…VLSI standard cell placement is the process of arranging circuit components (modules) on a silicon layout. …”
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