Search Results - (( sequence optimization _ algorithm ) OR ( using control optimization algorithm ))

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  1. 1
    Fuzzy Mixed Assembly Line Sequencing and Scheduling Optimization Model Using Multiobjective Dynamic Fuzzy GA

    Fuzzy Mixed Assembly Line Sequencing and Scheduling Optimization Model Using Multiobjective Dynamic Fuzzy GA by Zahari, Taha, Farzad, Tahriri, Siti Zawiah, Md Dawal

    Published 2014
    “…The simulation results highlight that the performance and efficacy of the proposed novel optimization algorithm are more efficient than the performance of the standard genetic algorithm in mixed assembly line sequencing model.…”
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  2. 2
    A Novel Integrating Between Tool Path Optimization Using An ACO Algorithm And Interpreter For Open Architecture CNC System

    A Novel Integrating Between Tool Path Optimization Using An ACO Algorithm And Interpreter For Open Architecture CNC System by Yusof, Yusri, Latif, Kamran, Hatem, Noor, A. Kadir, Aini Zuhra, Mohammed, M.A

    Published 2021
    “…Furthermore, high-performing Ant Colony Optimization (ACO) algorithms were used to optimize the travel path time. …”
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  3. 3
    Optimal input shaping for vibration control of a flexible manipulator using genetic algorithm

    Optimal input shaping for vibration control of a flexible manipulator using genetic algorithm by Rudrusamy, Bhuvendra

    Published 2005
    “…This thesis presents optimization of input shaping technique for vibration control of a flexible robot manipulator using genetic algorithms (GA). …”
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  4. 4
    Performance optimization of simultaneous machine and automated guided vehicle scheduling using fuzzy logic controller based genetic algorithm.

    Performance optimization of simultaneous machine and automated guided vehicle scheduling using fuzzy logic controller based genetic algorithm. by Sulaiman, Shamsuddin, Mohd Ariffin, Mohd Khairol Anuar, Badakshian, Mostafa

    Published 2012
    “…This paper presents a job-based GA that is based on job sequencing. Through the optimization, the FLC is used to control the GAoperators (crossover and mutation rate) simultaneous to solve the AGV scheduling problem…”
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  5. 5
    Optimization of Simultaneous Scheduling for Machines and Automated Guided Vehicles Using Fuzzy Genetic Algorithm

    Optimization of Simultaneous Scheduling for Machines and Automated Guided Vehicles Using Fuzzy Genetic Algorithm by Badakhshian, Mostafa

    Published 2009
    “…An optimal sequence of operations is obtained by GA. …”
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  6. 6
    Development of a Tuneable Test Problem Generator for Assembly Sequence Planning and Assembly Line Balancing

    Development of a Tuneable Test Problem Generator for Assembly Sequence Planning and Assembly Line Balancing by M. F. F., Ab Rashid, Hutabarat, Windo, Tiwari, Ashutosh

    Published 2012
    “…Experiments confirm that the selected combination of input attributes does control the generated assembly sequence planning and assembly line balancing problem complexity, and also that the generated problems can be used to identify the suitability of a given algorithm to problem types.…”
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  7. 7
    Safe experimentation dynamics algorithm for data-driven PID controller of a class of underactuated systems

    Safe experimentation dynamics algorithm for data-driven PID controller of a class of underactuated systems by Nor Sakinah, Abdul Shukor

    Published 2019
    “…Previously, SED algorithm has been applied in to control scheme of wind farm to optimize the total power production but has yet to be applied in PID tuning. …”
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  8. 8
    Safe experimentation dynamics algorithm for data-driven PID controller of a class of underactuated systems

    Safe experimentation dynamics algorithm for data-driven PID controller of a class of underactuated systems by Nor Sakinah, Abdul Shukor

    Published 2019
    “…Previously, SED algorithm has been applied in to control scheme of wind farm to optimize the total power production but has yet to be applied in PID tuning. …”
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  9. 9
    DNA Words Based on an Enhanced Algorithm of Multi-objective Particle Swarm Optimization in a Continuous Search Space

    DNA Words Based on an Enhanced Algorithm of Multi-objective Particle Swarm Optimization in a Continuous Search Space by Selvan, K.V, Muhammad, M.S., Masra, S.M.W., Zuwairie, Ibrahim, Kian, Sheng Lim

    Published 2011
    “…In this paper, particle swarm optimization algorithm in a continuous search space is implemented to generate a set of DNA words. …”
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  10. 10
    Global Algorithms for Nonlinear Discrete Optimization and Discrete-Valued Optimal Control Problems

    Global Algorithms for Nonlinear Discrete Optimization and Discrete-Valued Optimal Control Problems by Woon, Siew Fang

    Published 2009
    “…These problems are known as discrete-valued optimal control problems. Most practical discrete-valued optimal control problems have multiple local minima and thus require global optimization methods to generate practically useful solutions. …”
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  11. 11
    A New Hybrid Image Encryption Technique Using Lorenz Chaotic System and Simulated Kalman Filter (SKF) Algorithm

    A New Hybrid Image Encryption Technique Using Lorenz Chaotic System and Simulated Kalman Filter (SKF) Algorithm by Nurnajmin Qasrina Ann, ., Pebrianti, Dwi, Mohammad Fadhil, Abas, Bayuaji, Luhur

    Published 2022
    “…The objectives of the hybrid technique are to improve the security and add noise from the optimization algorithm and generate chaotic secret key. …”
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  12. 12
    Optimizing LSTM S2S models with Evolutionary Mating Algorithm (EMA) for direct multi-step forecasting of household electrical power consumption

    Optimizing LSTM S2S models with Evolutionary Mating Algorithm (EMA) for direct multi-step forecasting of household electrical power consumption by Al Mamun, Md Habib, Zuriani, Mustaffa, Junaida, Sulaiman, Mohd Herwan, Sulaiman

    Published 2026
    “…This study proposes a hybrid approach that combines a Long Short-Term Memory Sequence to Sequence (LSTM S2S) model with the Evolutionary Mating Algorithm (EMA) to optimize the model settings. …”
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  13. 13
    Optimal input shaping for vibration control of a flexible manipulator using GA

    Optimal input shaping for vibration control of a flexible manipulator using GA by Rudrusamy, Bhuvendra, Mohamed, Zaharuddin

    Published 2005
    “…This paper presents optimization of input shaping technique using genetic algorithms (GAs) for a planar single link flexible manipulator system with varying payload. …”
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  14. 14
    DEVELOPMENT OF INTELLIGENT CONTROLLER FOR TRAFFIC LIGHTS WITH DYNAMIC PHASE ARRANGEMENT FOR SINGLE-ISOLATED INTERSECTIONS

    DEVELOPMENT OF INTELLIGENT CONTROLLER FOR TRAFFIC LIGHTS WITH DYNAMIC PHASE ARRANGEMENT FOR SINGLE-ISOLATED INTERSECTIONS by KAMAL ABBAS, MAYTHEM AL-ADILI

    Published 2014
    “…The first decision made by the controlling algorithm was the sequence priority. This algorithm expands the Djikestra's shortest path algorithm to choose the optimal dual-green-phase to be operated at a moment of time.…”
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  15. 15
    Angle Based Protein Tertiary Structure Prediction Using Bees Optimization Algorithm

    Angle Based Protein Tertiary Structure Prediction Using Bees Optimization Algorithm by Al-Qattan, Zakaria Noor Aldeen Mahmood

    Published 2010
    “…In this project, angles based control with Bees Optimization search algorithm were adopted to search with guidance the protein conformational space in order to find the optimum solution. …”
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  16. 16
    Iteration strategy and ts effect towards the performance of population based metaheuristics

    Iteration strategy and ts effect towards the performance of population based metaheuristics by Nor Azlina, Ab. Aziz, Nor Hidayati, Abdul Aziz, Azlan, Abd Aziz, Tasiransurini, Abdul Rahman, Wan Zakiah, Wan Ismail, Zuwairie, Ibrahim

    Published 2020
    “…Metaheuristics algorithms solve optimization problems by repeating a set of procedures. …”
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  17. 17
    DNA sequence allignment accelerator using MATLAB / Noraminah Ismail

    DNA sequence allignment accelerator using MATLAB / Noraminah Ismail by Ismail, Noraminah

    Published 2014
    “…This paper presents the development of DNA sequence alignment accelerator using MATLAB. The Smith Waterman algorithm has been developed and simulated for nucleotide sequence alignment in optimizing accelerating speed. …”
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  18. 18
    T-way strategy for sequence input interactions test case generation adopting fish swarm algorithm

    T-way strategy for sequence input interactions test case generation adopting fish swarm algorithm by Rahman, Mostafijur, Sultana, Dalia, Sabira, Khatun, M. F. M., Jusof, Syamimi Mardiah, Shaharum, Nurhafizah, Abu Talip Yusof, Qaiduzzaman, Khandker M., Hasan, Md. Hasibul, Rahman, Md. Mushfiqur, Hossen, Md. Anwar, Begum, Afsana

    Published 2019
    “…The reason is that the T-way sequence input interaction is NP-Hard problem. In this research, Fish Swarm algorithm is proposed to adapt with T-way sequence input interaction test strategy. …”
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  19. 19
    Hybrid multiobjective genetic algorithm for integrated dynamic scheduling and routing of jobs and automated guided vehicles in flexible manufacturing systems

    Hybrid multiobjective genetic algorithm for integrated dynamic scheduling and routing of jobs and automated guided vehicles in flexible manufacturing systems by Umar, Umar Ali

    Published 2014
    “…The comparison of the result of the developed integrated algorithm using two benchmark FMS scheduling algorithms datasets is conducted. …”
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  20. 20
    Energy Management Strategy and Capacity Planning of an Autonomous Microgrid: A Comparative Study of Metaheuristic Optimization Searching Techniques

    Energy Management Strategy and Capacity Planning of an Autonomous Microgrid: A Comparative Study of Metaheuristic Optimization Searching Techniques by Bukar A.L., Tan C.W., Lau K.Y., Toh C.L., Ayop R., Dahiru A.T.

    Published 2023
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