Search Results - (( software optimization method algorithm ) OR ( parameter optimization approach algorithm ))

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  1. 1
    Optimization of turning parameters using genetic algorithm method

    Optimization of turning parameters using genetic algorithm method by Shah Izwandi, Mohd Zawawi

    Published 2008
    “…This study about development of optimization for turning parameters based on the Genetic Algorithm (GA). …”
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  2. 2
    Recent Evolutionary Algorithm Variants for Combinatorial Optimization Problem

    Recent Evolutionary Algorithm Variants for Combinatorial Optimization Problem by Anniza, Hamdan, San Nah, Sze, Say Leng, Goh, Kang Leng, Chiew, Wei King, Tiong

    Published 2023
    “…Other metaheuristic approaches such as genetic algorithm, differential evolution algorithm, particle swarm optimization, and ant colony optimization are still preferable to address combinatorial optimization problems. …”
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  3. 3
    Software defect prediction framework based on hybrid metaheuristic optimization methods

    Software defect prediction framework based on hybrid metaheuristic optimization methods by Wahono, Romi Satria

    Published 2015
    “…The classification algorithm is a popular machine learning approach for software defect prediction. …”
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  4. 4
    Design optimization of valve timing at various engine speeds using Multi-Objective Genetic Algorithm (MOGA)

    Design optimization of valve timing at various engine speeds using Multi-Objective Genetic Algorithm (MOGA) by Mohiuddin, A. K. M., Ashour, Ahmed Aly Ibrahim Shaaban, Yap, Haw Shin

    Published 2008
    “…Majority of the research works in this project were in CAE software environment and method to implement optimization to 1D engine simulation. …”
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    Proceeding Paper
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  5. 5
    A review of training methods of ANFIS for applications in business and economic

    A review of training methods of ANFIS for applications in business and economic by Mohd Salleh, Mohd Najib, Hussain, Kashif

    Published 2016
    “…Therefore many researchers have trained ANFIS parameters using metaheuristic algorithms however very few have considered optimizing the ANFIS rule-base. …”
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  6. 6
    A review of training methods of ANFIS for applications in business and economics

    A review of training methods of ANFIS for applications in business and economics by Mohd Salleh, Mohd Najib, Hussain, Kashif

    Published 2016
    “…Therefore many researchers have trained ANFIS parameters using metaheuristic algorithms however very few have considered optimizing the ANFIS rule-base. …”
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  7. 7
    A comparative analysis of metaheuristic algorithms in fuzzy modelling for phishing attack detection

    A comparative analysis of metaheuristic algorithms in fuzzy modelling for phishing attack detection by Noor Syahirah, Nordin, Mohd Arfian, Ismail, Tole, Sutikno, Shahreen, Kasim, Rohayanti, Hassan, Zalmiyah, Zakaria, Mohd Saberi, Mohamad

    Published 2021
    “…The optimization method derives from the metaheuristic algorithm. …”
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  8. 8
    Exploration and Exploitation Mechanism in Pairwise Test Case Generation: A Systematic Literature Review

    Exploration and Exploitation Mechanism in Pairwise Test Case Generation: A Systematic Literature Review by Yahaya, Muhammad Sabo, Hashim, Ahmad Sobri B., Oluwagbemiga Balogun, Abdullateef, Aminu Muazu, Aminu, Sabo Usman, Fatima, Adamu Aliyu, Dahiru, Uwaisu Muhammad, Abdullahi

    Published 2025
    “…Covering research from 2014 to 2024, the review evaluates hybrid and metaheuristic strategies, including Pairwise Migrating Birds Optimization-Based Strategies (PMBOS), Pairwise Gravitational Search Algorithm Strategy (PGSAS), Pairwise hybrid Artificial Bee Colony (PhABC), Genetic and Particle Swarm Optimization (GAPSO) algorithm, Hybrid Optimization Algorithm (HOA), and Parameter Free Choice Function based Hyper-Heuristic (PCFHH), among others. …”
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  9. 9
    Modeling flood occurences using soft computing technique in southern strip of Caspian Sea Watershed

    Modeling flood occurences using soft computing technique in southern strip of Caspian Sea Watershed by Borujeni, Sattar Chavoshi

    Published 2012
    “…Genetic algorithm (GA) was employed to adjust parameters of FES and optimize the system. …”
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  10. 10
    Comparison of mabsa, PSO and GWO of PI-PD controller for dc motor

    Comparison of mabsa, PSO and GWO of PI-PD controller for dc motor by Nur Naajihah, Ab Rahman

    Published 2024
    “…The swarm intelligence group selected Particle Swarm Optimization (PSO), Grey Wolf Optimization (GWO), and Modified Adaptive Bats Sonar Algorithms (MABSA) to optimize the parameters of the PI-PD controller. …”
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  11. 11
    A fast learning network with improved particle swarm optimization for intrusion detection system

    A fast learning network with improved particle swarm optimization for intrusion detection system by Ali, Mohammed Hasan

    Published 2019
    “…However, the internal power parameters (weight and basis) of FLN are initialized at random, causing the algorithm to be unstable. …”
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  12. 12
    Combinatorial Black Hole Algorithm: A Metaheuristic Approach for Combinatorial Testing

    Combinatorial Black Hole Algorithm: A Metaheuristic Approach for Combinatorial Testing by Ibrahim, Izrulfizal Saufihamizal, Ibrahim, Rosziati, Mat Rejab, Mazidah

    Published 2023
    “…The black hole algorithm (BHA) is a metaheuristic approach that has been used in multiple problems involving optimization. …”
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  13. 13
    Hybrid optimization approach to estimate random demand

    Hybrid optimization approach to estimate random demand by Wahab, Musa, Ku-Mahamud, Ku Ruhana, Yasin, Azman

    Published 2012
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  14. 14
    Combinatorial Black Hole Algorithm: A Metaheuristic Approach for Combinatorial Testing

    Combinatorial Black Hole Algorithm: A Metaheuristic Approach for Combinatorial Testing by Ibrahim, Izrulfizal Saufihamizal, Ibrahim, Rosziati, Mat Rejab, Mazidah

    Published 2023
    “…The black hole algorithm (BHA) is a metaheuristic approach that has been used in multiple problems involving optimization. …”
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  15. 15
    Combinatorial Black Hole Algorithm: A Metaheuristic Approach for Combinatorial Testing

    Combinatorial Black Hole Algorithm: A Metaheuristic Approach for Combinatorial Testing by Ibrahim, Izrulfizal Saufihamizal, Ibrahim, Rosziati, Mat Rejab, Mazidah

    Published 2023
    “…The black hole algorithm (BHA) is a metaheuristic approach that has been used in multiple problems involving optimization. …”
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  16. 16
    Combinatorial Black Hole Algorithm: A Metaheuristic Approach for Combinatorial Testing

    Combinatorial Black Hole Algorithm: A Metaheuristic Approach for Combinatorial Testing by Saufihamizal Ibrahim, Izrulfizal, Ibrahim, Rosziati, Mat Rejab, Mazidah

    Published 2023
    “…The black hole algorithm (BHA) is a metaheuristic approach that has been used in multiple problems involving optimization. …”
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  17. 17
    Combinatorial Black Hole Algorithm: A Metaheuristic Approach for Combinatorial Testing

    Combinatorial Black Hole Algorithm: A Metaheuristic Approach for Combinatorial Testing by Ibrahim, Izrulfizal Saufihamizal, Ibrahim, Rosziati, Mat Rejab, Mazidah

    Published 2023
    “…The black hole algorithm (BHA) is a metaheuristic approach that has been used in multiple problems involving optimization. …”
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  18. 18
    Evolutionary tuning of modular fuzzy controller for two-wheeled wheelchair

    Evolutionary tuning of modular fuzzy controller for two-wheeled wheelchair by Ahmad, Salmiah, Siddique, Nazmul H., Tokhi, Mohammad Osman

    Published 2012
    “…Due to its signficant advantages over other searching methods, a genetic algorithm approach is used to optimize the scaling factors of the MFC and results show that the optimized parameters give better system performance for such a complex, highly nonlinear two-wheeled wheelchair system.…”
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  19. 19
    Hub Angle Control of Double Link Flexible Robotic Arm Manipulator Using PID Controller Tuned by Bacterial Foraging Optimization Algorithm

    Hub Angle Control of Double Link Flexible Robotic Arm Manipulator Using PID Controller Tuned by Bacterial Foraging Optimization Algorithm by Amiera Aqilah, M. Rosnani, Muhamad Sukri, Hadi, Annisa, Jamali, Intan Zaurah, Mat Darus, Hanim, Mohd Yatim, Mat Hussin, Ab Talib

    Published 2023
    “…This can be accomplished by developing an intelligent controller for a double-link flexible robotics manipulator (DLFRM) using a proportional integral derivative (PID) controller approach and bacterial foraging optimization algorithm (BFOA) to tune the PID control parameters. …”
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  20. 20
    Design and optimization of a test case generation algorithm for real-time embedded systems based on adaptive Q-Learning

    Design and optimization of a test case generation algorithm for real-time embedded systems based on adaptive Q-Learning by Yingbei, Niu, Chai, Soo See

    Published 2026
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