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Showing 41 - 60 results of 209 for search 'genetic ((algorithm optimized) OR (algorithm (optimized OR optimize)))', query time: 0.11s Refine Results
  1. 41
    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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  2. 42
    Allocating data to multicomputer nodes by physical optimization algorithms for loosely synchronous computations

    Allocating data to multicomputer nodes by physical optimization algorithms for loosely synchronous computations by Mansour, Nashat

    Published 1992
    “…These are simulated annealing, genetic algorithms and neural networks. A number of design choices and the addition of preprocessing and postprocessing steps lead to versions of the algorithms which differ in solution qualities and execution times. …”
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  3. 43
    On the Optimization of Band Gaps in Periodic Waveguides

    On the Optimization of Band Gaps in Periodic Waveguides by Jamil Renno (14070771)

    Published 2025
    “…Five nature-inspired optimization algorithms: Genetic Algorithm (GA), Differential Evolution (DE), Grey Wolf Optimizer (GWO), Improved Grey Wolf Optimizer (IGWO), and Particle Swarm Optimization (PSO) are compared. …”
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  4. 44
    Optimization metaheuristic for software testing

    Optimization metaheuristic for software testing by Mansour, Nashat

    Published 2013
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  5. 45
    Incremental Genetic Algorithm

    Incremental Genetic Algorithm by Mansour, Nashat

    Published 2006
    “…Classical Genetic Algorithms (CGA) are known to find good sub-optimal solutions for complex and intractable optimization problems. …”
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  6. 46
    Scheduling IoT Requests to Minimize Latency in Fog Computing

    Scheduling IoT Requests to Minimize Latency in Fog Computing by Alikarar, Mazin Abdelbadea Nasralla

    Published 2017
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  7. 47
    Parametric Estimation From Empirical Data Using Particle Swarm Optimization Method for Different Magnetorheological Damper Models

    Parametric Estimation From Empirical Data Using Particle Swarm Optimization Method for Different Magnetorheological Damper Models by Asan G. A. Muthalif (16888818)

    Published 2021
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  8. 48
    A Scatter search algorithm for exam scheduling. (c2006)

    A Scatter search algorithm for exam scheduling. (c2006) by Isahakian, Vatche Raffi

    Published 2006
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  9. 49
    Fuzzy genetic algorithm for floorplanning

    Fuzzy genetic algorithm for floorplanning by Youssef, H.

    Published 2020
    “…Genetic algorithms (GAs) have been found to be very effective in solving numerous optimization problems, especially those with many (possibly) conflicting and noisy objectives. …”
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  10. 50
    Optimization of Piezoelectric Sensor-Actuator for Plate Vibration Control Using Evolutionary Computation: Modeling, Simulation and Experimentation

    Optimization of Piezoelectric Sensor-Actuator for Plate Vibration Control Using Evolutionary Computation: Modeling, Simulation and Experimentation by Asan G. A. Muthalif (16888818)

    Published 2021
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  11. 51
    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
    Subjects: “…genetic algorithms…”
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  12. 52
    Performance analysis and optimization of photovoltaic-thermal system with direct contact membrane distillation using metaheuristic algorithms

    Performance analysis and optimization of photovoltaic-thermal system with direct contact membrane distillation using metaheuristic algorithms by Faisal Maqbool (14561804)

    Published 2025
    “…The objective is to maximize electrical efficiency, permeate flux, and outlet temperature by considering the effects of flow rates (1–10 L/min), solar irradiation (10–1000 W/m2), and ambient temperatures (291–324 K). Metaheuristic algorithms, including Particle Swarm Optimization (PSO) and Genetic Algorithm (GA), are employed to determine the optimal operating parameters. …”
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  13. 53
    Exam scheduling algorithms. (c1999)

    Exam scheduling algorithms. (c1999) by Mikati, Ziad

    Published 1999
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  14. 54
    A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method

    A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method by Amit Kumar Balyan (18288964)

    Published 2022
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  15. 55
    Incremental & classical genetic algorithm. (c2001)

    Incremental & classical genetic algorithm. (c2001) by Awad, Mohamad M.

    Published 2001
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  16. 56
    Genetic algorithms applications in load frequency control

    Genetic algorithms applications in load frequency control by Abdel-Magid, Y.L.

    Published 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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  17. 57
    A New Parallel Genetic Algorithm Model

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

    Published 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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  18. 58
    An Uncertainty Based Genetic Algorithm Approach for Project Resource Scheduling

    An Uncertainty Based Genetic Algorithm Approach for Project Resource Scheduling by ALKETBI, SAIF

    Published 2016
    “…The results showed the proposed methodology outperformed existing algorithms in optimizing project durations and resources allocation. …”
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  19. 59
    Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization

    Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization by Abu Zitar, Raed

    Published 2024
    “…This hybrid approach, the Improved Prairie Dog Optimization Algorithm (IPDOA) with the Genetic Algorithm (GA), utilizes the strengths of both algorithms to improve the overall optimization performance. …”
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  20. 60
    Control of nonlinear dynamical systems using genetic algorithms

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

    Published 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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