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  1. 1
    Open access for gamification: a systematic review of literature across disciplines

    Open access for gamification: a systematic review of literature across disciplines by Zakaria, Noor Syamilah, Saripan, M. Iqbal, Subarimaniam, Neerushah, Ismail, Alyani

    Published 2020
    “…We found that gamification fits numerous purposes and fields, allowing developers to expand their algorithms to be used for various subjects in different settings. …”
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  2. 2
    Self learning module on securing IPV6 deployment / Muhamad Nazif Shahaimi Zaha

    Self learning module on securing IPV6 deployment / Muhamad Nazif Shahaimi Zaha by Zaha, Muhamad Nazif Shahaimi

    Published 2019
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  3. 3
    Parameter-Less Simulated Kalman Filter

    Parameter-Less Simulated Kalman Filter by Nor Hidayati, Abdul Aziz, Zuwairie, Ibrahim, Nor Azlina, Ab. Aziz, Saifudin, Razali

    Published 2017
    “…Simulated Kalman Filter (SKF) algorithm is a new population-based metaheuristic optimization algorithm. …”
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  4. 4
    Gamification of Regional Tourism Engagement: Analysis and Design of a Web-Based Information System

    Gamification of Regional Tourism Engagement: Analysis and Design of a Web-Based Information System by Johannes Hamonangan, Siregar, Rufman Iman, Akbar, Augury, El Rayeb, Chaerul, Anwar, Suriati Khartini, Jali, Mohamad Imran, Bandan, Phei Chin, Lim, Abby Lian, Hendrick

    Published 2025
    “…The system integrates a structured gamification algorithm with a scalable relational database model, built using React.js and Firebase, to ensure responsive and consistent user experiences. …”
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    Proceeding
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  5. 5
    Studying the Impact of Initialization for Population-Based Algorithms with Low-Discrepancy Sequences

    Studying the Impact of Initialization for Population-Based Algorithms with Low-Discrepancy Sequences by Adnan Ashraf, Sobia Pervaiz, Waqas Haider Bangyal, Kashif Nisar, Ag. Asri Ag. Ibrahim, Joel J. P. C. Rodrigues, Danda B. Rawat

    Published 2021
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  6. 6
    Application of intelligence based genetic algorithm for job sequencing problem on parallel mixed-model assembly line

    Application of intelligence based genetic algorithm for job sequencing problem on parallel mixed-model assembly line by Noroziroshan, Alireza, Mohd Ariffin, Mohd Khairol Anuar, Ismail, Napsiah

    Published 2010
    “…A heuristic algorithm was introduced to generate the initial population for intelligence based genetic algorithm. …”
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  7. 7
    GENETIC ALGORITHM WITH DEEP NEURAL NETWORK SURROGATE FOR THE OPTIMIZATION OF ELECTROMAGNETIC STRUCTURE

    GENETIC ALGORITHM WITH DEEP NEURAL NETWORK SURROGATE FOR THE OPTIMIZATION OF ELECTROMAGNETIC STRUCTURE by MOHAMMED SHARIFF, NUR ATIQAH

    Published 2020
    “…This paper will report on an initial study of the usage of Genetic Algorithm (GA) merged with Deep Neural Network based surrogate model to optimize simulation for electromagnetic structure. …”
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  8. 8
    Simulated annealing algorithm for solving chambering student-case assignment problem

    Simulated annealing algorithm for solving chambering student-case assignment problem by Ghazali, Saadiah, Abdul Rahman, Syariza

    Published 2015
    “…The objective of the study is to minimize the total completion time for all students in solving the given cases.This study employed a minimum cost greedy heuristic in order to construct a feasible initial solution.The search then is preceded with a simulated annealing algorithm for further improvement of solution quality.The analysis of the obtained result has shown that the proposed simulated annealing algorithm has greatly improved the solution constructed by the minimum cost greedy heuristic. …”
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  9. 9
    Simulation of droplet coalesce using lattice Boltzmann method

    Simulation of droplet coalesce using lattice Boltzmann method by Mohamad Rizam, Zenudin

    Published 2009
    “…From the Maxwell equal area construction, the value of macroscopic variables, density of fluids is determined which will be code in the algorithm. Algorithm of multiphase LBM involving the initial condition, streaming step, collision step and boundary condition is coded to done the simulation. …”
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  10. 10
    Designing machine learning frameworks for intelligence and gamification research / Nordin Abu Bakar

    Designing machine learning frameworks for intelligence and gamification research / Nordin Abu Bakar by Abu Bakar, Nordin

    Published 2016
    “…The central part of this subject is described in terms of frameworks or algorithms that explains how to achieve better performance. …”
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  11. 11
    Comparative Analysis of Low Discrepancy Sequence-Based Initialization Approaches Using Population-Based Algorithms for Solving the Global Optimization Problems

    Comparative Analysis of Low Discrepancy Sequence-Based Initialization Approaches Using Population-Based Algorithms for Solving the Global Optimization Problems by Waqas Haider Bangyal, Kashif Nisar, Ag. Asri Bin Ag. Ibrahim, Muhammad Reazul Haque, Joel J. P. C. Rodrigues, Danda B. Rawat

    Published 2021
    “…It is anticipated that this low-discrepancy sequence comparative simulation survey would be helpful for studying the metaheuristic algorithm in detail for the researcher.…”
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  12. 12
    A Hybrid of Ant Colony Optimization Algorithm and Simulated Annealing for Classification Rules

    A Hybrid of Ant Colony Optimization Algorithm and Simulated Annealing for Classification Rules by Rizauddin, Saian

    Published 2013
    “…Classification rule induction is one of the problems solved by the Ant-miner algorithm, a variant of ACO, which was initiated by Parpinelli in 2001. …”
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  13. 13
    Simulated Kalman Filter algorithms for solving optimization problems

    Simulated Kalman Filter algorithms for solving optimization problems by Nor Hidayati, Abdul Aziz

    Published 2019
    “…In this research, two novel estimation-based metaheuristic optimization algorithms, named as Simulated Kalman Filter (SKF), and single-solution Simulated Kalman Filter (ssSKF) algorithms are introduced for global optimization problems. …”
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  14. 14
    Modelling of multi-robot system for search and rescue

    Modelling of multi-robot system for search and rescue by Poy, Yi Ler

    Published 2023
    “…The impact of the MPSO parameters on the simulation results is also studied to determine the best PSO parameters that achieve the best performance. …”
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  15. 15
    Improved opposition-based particle swarm optimization algorithm for global optimization

    Improved opposition-based particle swarm optimization algorithm for global optimization by Nafees Ul Hassan, Waqas Haider Bangyal, M. Sadiq Ali Khan, Kashif Nisar, Ag. Asri Ag. Ibrahim, Danda B. Rawat

    Published 2021
    “…PSO also becomes trapped into local optima similarly to other nature-inspired algorithms. The literature depicts that in order to solve pre-mature convergence for PSO algorithms, researchers have adopted various parameters such as population initialization and inertia weight that can provide excellent results with respect to real world problems. …”
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  16. 16
    Node placement optimization using extended virtual force and cuckoo search algorithm in wireless sensor network

    Node placement optimization using extended virtual force and cuckoo search algorithm in wireless sensor network by Puteri Azwa, Ahmad

    Published 2014
    “…A series of experimental studies on evaluation of proposed algorithm were conducted within simulated environment. …”
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  17. 17
    An investigation towards hostel space allocation problem with stochastic algorithms

    An investigation towards hostel space allocation problem with stochastic algorithms by Joe Henry Obit, Kuan, Yik Junn, Rayner Alfred, Jetol Bolongkikit, Ong, Yan Sheng

    Published 2018
    “…This research presents the study of stochastic algorithms in one of the limited study in Space Allocation Problem. …”
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  18. 18
    PERFORMANCE COMPARISON OF NON-INTERLEAVED BCH CODES AND INTERLEAVED BCH CODES

    PERFORMANCE COMPARISON OF NON-INTERLEAVED BCH CODES AND INTERLEAVED BCH CODES by MOHD. NURI, NUR DIANA

    Published 2008
    “…Algorithm for interleaving that includes interleaving message, including burst errors and deinterleaving message is combined with the BCH codes algorithm for simulating the interleaved BCH codes. …”
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  19. 19
    An efficient generalized minimized residual simulation technique for continuation power flow studies

    An efficient generalized minimized residual simulation technique for continuation power flow studies by Jasni, Jasronita, Azis, Norhafiz, Hizam, Hashim, Ab Kadir, Mohd Zainal Abidin, Mariun, Norman, Mohd Noor, Samsul Bahari, Sobri, Shafreeza

    Published 2008
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  20. 20
    Power system stabilizer optimization using BBO algorithm for a better damping of rotor oscillations owing to small disturbances

    Power system stabilizer optimization using BBO algorithm for a better damping of rotor oscillations owing to small disturbances by Kasilingam G., Pasupuleti J., Bharatiraja C., Adedayo Y.

    Published 2023
    “…Algorithms are simulated with the help of MATLAB�and Simulink�. …”
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