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  1. 1

    Representation Of Rational Bézier Quadratics Using Genetic Algorithm, Differential Evolution And Particle Swarm Optimization by Yahya, Zainor Ridzuan

    Published 2013
    “…These techniques have been used to optimize control points and weights in the description of spline functions used. …”
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    Thesis
  2. 2

    Harmonic Elimination Pulse Width Modulation Using Differential Evolution Technique For Three Phase Voltage Source Inverter by Kamisman, Norazelina

    Published 2018
    “…Differential Evolution (DE) has been gaining popularity among researchers as an effective yet simple evolutionary algorithm to solve the optimization problems. …”
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    Thesis
  3. 3

    DE-based robust controller design for helicopter cruise control by Mahmud, Iwan, Akmeliawati, Rini, Budiyono, Agus

    Published 2014
    “…The effectiveness of the proposed controller design technique is presented by comparing its performance with that of conventional LQR-based controllers in computer simulation.…”
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    Article
  4. 4

    Identification and predictive control of spray tower system using artificial neural network and differential evolution algorithm by Danzomo, Bashir A., Salami, Momoh Jimoh Eyiomika, Khan, Md. Raisuddin

    Published 2015
    “…This includes the use of an artificial neural network (ANN) based predictive control strategy and differential evolution (DE) optimization algorithm to determines the optimal control signal, uk (liquid droplet size, dD) by minimizing the cost function such that the output is set below the allowable PM concentration. …”
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    Proceeding Paper
  5. 5

    Evolution, design, and future trajectories on bipedal wheel-legged robot: A comprehensive review by Zulkifli, Mansor, Irawan, Addie, Mohammad Fadhil, Abas

    Published 2023
    “…The analysis encompasses optimization techniques, sensor integration, machine learning, and adaptive control methods, evaluating their impact on robot capabilities. …”
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    Article
  6. 6

    Performance optimization of cloud storage in access control of Ciphertext Policy Attribute-based Encryption by Mohd Satar, Siti Dhalila

    Published 2023
    “…Our findings contribute to the ongoing evolution of secure and efficient cloud computing paradigms.…”
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    Thesis
  7. 7

    A coevolutionary multiobjective evolutionary algorithm for game artificial intelligence by Tse, Guan Tan, Jason, Teo, Kim, On Chin, Alfred, Rayner

    Published 2013
    “…Recently, the growth of Artificial Intelligence (AI) has provided a set of effective techniques for designing computer-based controllers to perform various tasks autonomously in game area, specifically to produce intelligent optimal game controllers for playing video and computer games. …”
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    Article
  8. 8

    A coevolutionary multiobjective evolutionary algorithm for game artificial intelligence by Tse, Guan Tan, Teo, Jason Tze Wi, Rayner Alfred, Kim, On Chin

    Published 2013
    “…Recently, the growth of Artificial Intelligence (AI) has provided a set of effective techniques for designing computer-based controllers to perform various tasks autonomously in game area, specifically to produce intelligent optimal game controllers for playing video and computer games. …”
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    Article
  9. 9

    Fundamental design aspects of UAV-enabled MEC systems: a review on models, challenges, and future opportunities by Adnan, Mohd Hirzi, Ahmad Zukarnain, Zuriati, Ahmed Amodu, Oluwatosin

    Published 2024
    “…Moreover, the lessons are also derived from the study on system optimization and system modeling techniques identified in this paper. …”
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    Article
  10. 10

    Model predictive control based on Lyapunov function and near state vector selection of four-leg inverter / Abdul Mannan Dadu by Abdul Mannan, Dadu

    Published 2018
    “…The model predictive control technique utilizes all the available voltage vectors of power inverter to improve the predictive current control performance. …”
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    Thesis
  11. 11

    Navigating challenges and opportunities of machine learning in hydrogen catalysis and production processes: Beyond algorithm development by Salehmin M.N.I., Tiong S.K., Mohamed H., Umar D.A., Yu K.L., Ong H.C., Nomanbhay S., Lim S.S.

    Published 2025
    “…This review uniquely focuses on harnessing the synergy between ML and computational modeling (CM) or optimization tools, as well as integrating multiple ML techniques with CM, for the synthesis of diverse hydrogen evolution reaction (HER) catalysts and various hydrogen production processes (HPPs). …”
    Review
  12. 12

    Artificial neural controller synthesis for TORCS by Shi, Jun Long

    Published 2015
    “…The inclusion of AI technique could generate better car racing game NPC and it is also beneficial to autonomous mobile car manufacturing as the generated controllers could be transferred to real car for auto piloting. …”
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    Thesis
  13. 13

    Optimized PID controller of DC-DC buck converter based on archimedes optimization algorithm by Ling, Kuok Fong, Islam, Muhammad Shafiqul, Mohd Ashraf, Ahmad

    Published 2023
    “…This research assesses the suitability of the Archimedes Optimization Algorithm (AOA) as a metaheuristic technique to fine-tune a PID controller in a closed-loop DC-DC buck converter. …”
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    Article
  14. 14

    Mobility management for seamless handover in carrier aggregation heterogeneous networks deployment scenario of long term evolution-advanced by Ahmed-Abdulazeez, Mariam Ovayioza

    Published 2018
    “…Secondly, a Hybrid Handover Parameters Optimization algorithm based on Enhanced Weight Performance (HHPO) is introduced to optimize, select suitable Handover Control Parameters (HCP) and to manage the conflict that may occur among self-optimization functions. …”
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    Thesis
  15. 15

    Coordination of PSS and PID controller for power system stability enhancement - overview by Kasilingam G., Pasupuleti J.

    Published 2023
    “…Research showed the design of controllers based on conventional methods; soft computing and population based algorithms suffer from limitations. …”
    Article
  16. 16

    Performance of three different power control schemes in LTE-A Femtocell deployment / Ahmad Zikri Mohamed@Harun by Mohamed@Harun, Ahmad Zikri

    Published 2014
    “…Based on the analyses, the proposed hybrid power control scheme is the best technique to mitigate the interference and at the same time will fully optimize the transmitted power.…”
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    Thesis
  17. 17

    Optimal placement of unified power flow controller by dynamic implementation of system-variable-based voltage-stability indices to enhance voltage stability by Ahmad, S., Albatsh, F.M., Mekhilef, Saad, Mokhlis, Hazlie

    Published 2016
    “…Furthermore, to verify the suitability of the explored locations, a comparative study has been conducted after placing UPFC in the present locations and other locations obtained using optimization techniques like particle swarm optimization (PSO), differential evolution (DE), genetic algorithm (GA), and bacteria foraging algorithm (BFA). …”
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    Article
  18. 18

    Digital technologies evolution in swiftlet farming: a systematic literature review by Arni Munira Markom, Yusrina Yusof, Marni Azira Markom, Hazlihan Haris, Ahmad Razif Muhammad

    Published 2024
    “…The findings were classified into three main themes: smart monitoring and control systems, advanced bird detection techniques, sustainable practices and innovative approaches, specifically in the manufacture of edible bird nests. …”
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    Article
  19. 19

    Selective harmonic elimination in cascaded H-bridge multilevel inverter using hybrid APSO algorithm / Mudasir Ahmed by Mudasir , Ahmed

    Published 2019
    “…In the last three decades, significant research has been done to develop an efficient control technique for eliminating unwanted harmonics. …”
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    Thesis
  20. 20

    Evolutionary algorithm for forecastng mean sea level based on meta-heuristic approach by Lai, V., Ahmed, Ali Najah, Malek, Marlinda Abdul, El-Shafie, Ahmed, El-Shafie, Amr

    Published 2018
    “…GP is a meta-heuristic search and optimization technique based on natural evolution. The control and optimization parameters in this study are tuned. …”
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    Article