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  1. 1

    The Anglerfish algorithm: a derivation of randomized incremental construction technique for solving the traveling salesman problem by Pook, Mei Foong, Ramlan, Effirul Ikhwan

    Published 2019
    “…The combination of possible solutions are rather vast and often overwhelms the limited computational power. Smart algorithms have been developed to address this issue. …”
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    Article
  2. 2

    Automated Examination Timetabling System (AETSys) / Ariff Md Ab Malik by Md Ab Malik, Ariff, Haruddin, Hanitahaiza, Alwi, Anisah, Mohamed, Khainizam

    Published 2013
    “…This system has been developed based on a hybridization of local search-population based metaheuristic algorithms. …”
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    Book Section
  3. 3

    Sports tournament scheduling using genetic algorithm / Hafeezur Syakir Abdul Motok@Mohd Ridzuan by Abdul Motok@Mohd Ridzuan, Hafeezur Syakir

    Published 2020
    “…The phase in RAD such as planning requirements, user design, rapid construction and cutover is used during development. …”
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    Thesis
  4. 4

    Supplier selection for contractors using Fuzzy TOPSIS Algorithm / Mohamed Shafiq Mohamed Yusof by Mohamed Yusof, Mohamed Shafiq

    Published 2020
    “…The future work of this project is to develop a system by using the same domain but with different algorithm and compare the result with the current result obtained from the system…”
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    Thesis
  5. 5

    An analysis of the parameter modifications in varieties of harmony search algorithm by Nur Farraliza, Mansor, Zuraida, Abal Abas, Ahmad Fadzli Nizam, Abdul Rahman

    Published 2014
    “…A Harmony Search (HS) algorithm is a population based-meta-heuristics approach that is superior in solving diversified and large scale optimization problems. …”
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    Article
  6. 6

    An analysis of the parameter modifications in varieties of harmony search algorithm by Mansor, N. F., Abal Abas, Zuraida, Abdul Rahman, Ahmad Fadzli Nizam, Shibghatullah, Abdul Samad, Safiah , Sidek

    Published 2014
    “…A Harmony Search (HS) algorithm is a population based-meta-heuristics approach that is superior in solving diversified and large scale optimization problems. …”
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    Article
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    Solving an application of university course timetabling problem by using genetic algorithm by Norhana, Shaibatul Khadri

    Published 2022
    “…Among the approaches, genetic algorithm (GA), constructed based on Darwin's theory of evolution, becomes the renowned approach to solve various types of timetabling problems. …”
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    Thesis
  10. 10

    Reliability assessment of power system generation adequacy with wind power using population-based intelligent search methods by Kadhem, Athraa Ali

    Published 2017
    “…The proposed intelligent algorithms would rely on the population intelligent search (PIS) techniques considered as viable replacement for the MCS method in assessing the reliability indices of non-chronological system. …”
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    Thesis
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    A Stepper Motor Design Optimization Using by Wong, Chin Wei

    Published 2005
    “…There is a need to fill this void in the area of small-motor design, and develop a program using Genetic Algorithms (GAs) as an approach to achieve optimization. …”
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    Monograph
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    Development of two matheuristics for production-inventory-distribution routing problem / Dicky Lim Teik Kyee by Dicky Lim , Teik Kyee

    Published 2018
    “…The models in both approaches are solved by using Concert Technology of CPLEX 12.5 Optimizers with Microsoft Visual C++ 2010. Both algorithms are tested on a set of 90 benchmark instances with 50, 100 and 200 customers and 20 periods and the results are competitive when compared to the Memetic Algorithm with Population Management (MA|PM), Reactive Tabu Search (RTS) and Scatter Search (SS). …”
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    Thesis
  15. 15

    Data Analysis and Rating Prediction on Google Play Store Using Data-Mining Techniques by Kayalvily, Tabianan, Denis, Arputharaj, Mohd Norshahriel, Abd Rani, Sarasvathi, Nahalingham

    Published 2022
    “…This method classifies a population into branch-like segments that construct an inverted tree with a root node, internal nodes, and leaf nodes. …”
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    Article
  16. 16

    Transtheoretical model of change for weight control in Malaysian context by Chang, Ching Thon

    Published 2010
    “…The findings of this study indicated that the basic constructs of the TIM: the Stages of Change, the Decisional Balance, the Self-Efficacy, and the integration between the Stages of Change, and the Decisional Balance, Stages of Change and the SelfEfficacy variables were generalizable to the study population. …”
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    Thesis
  17. 17

    Crossover and mutation operators of real coded genetic algorithms for global optimization problems by Lim, Siew Mooi

    Published 2016
    “…The rationale behind developing algorithms using real encoding of chromosome representations is the limitations of binary encoding. …”
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    Thesis
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    An ensemble of neural network and modified grey wolf optimizer for stock prediction by Das, Debashish

    Published 2019
    “…Grey Wolf Optimizer (GWO) is a recently developed meta-heuristic algorithm which is appealing to researcher owing to its demonstrated performance as cited in the scientific literature. …”
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    Thesis
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    Characterization of Pattern for Predicting Ultra Violet (UV) Effects in Environment Data Management System (EDMS) by M. Amir Abas, M. Dahlui, UniKL BMI

    Published 2013
    “…Her relatively big population size, many new housing estates, many vehicles and factories, and several construction sites had contributed to the climax change. …”