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  1. 1
    Smart student timetable planner

    Smart student timetable planner by Wong, Xin Tong

    Published 2025
    “…The system is implemented using Node.js with Express for server-side development, HTML, CSS, and JavaScript for the frontend, and Socket.IO for real-time collaboration. …”
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    Final Year Project / Dissertation / Thesis
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  2. 2
    Exam hall allocation using genetic algorithm / Norisyani Binti Fauzai

    Exam hall allocation using genetic algorithm / Norisyani Binti Fauzai by Fauzai, Norisyani

    Published 2021
    “…The second objective is to develop a system to construct the exam hall allocation using a genetic algorithm and the last objective is to evaluate the functionality of the exam hall allocation system. …”
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    Thesis
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  3. 3
    Comparison between multi-objective and single-objective optimization for the modeling of dynamic systems

    Comparison between multi-objective and single-objective optimization for the modeling of dynamic systems by Mohd Zakimi, Zakaria, Hishamuddin, Jamaluddin, Robiah, Ahmad, Sayed Mohammad Reza, Loghmanian

    Published 2013
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    Working Paper
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  4. 4
    Cutting temperature and surface roughness optimization in CNC end milling using multi objective genetic algorithm

    Cutting temperature and surface roughness optimization in CNC end milling using multi objective genetic algorithm by Al Hazza, Muataz, Adesta, Erry Yulian Triblas, Superianto, M. Y., Riza, Muhammad

    Published 2012
    “…Due to complexity of this machining optimization problem, a multi objective genetic algorithm (MOGA) has been applied to resolve the problem, and the results have been analyzed…”
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    Proceeding Paper
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  5. 5
    Development of New Genetic Algorithm Software for Blow Mould Process

    Development of New Genetic Algorithm Software for Blow Mould Process by K., Kadirgama, M. M., Noor, R., Daud, M. R. M., Rejab

    Published 2008
    “…The approach is based on newly development of Genetic Algorithm software. In this work, the objectives were to optimized parameters with newly develop software and compare with statistical software. …”
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  6. 6
    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 objectives of this research are to develop an algorithm for integrated scheduling and conflict-free routing of jobs and AGVs in FMS environment using a hybrid genetic algorithm, ensure the algorithm validity and improvement on the performance of the developed algorithm. …”
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  7. 7
    Multi-objective optimization of stand-alone hybrid renewable energy system by genetic algorithm

    Multi-objective optimization of stand-alone hybrid renewable energy system by genetic algorithm by Nejad, Mohsen Fadaee

    Published 2013
    “…HOGA (Hybrid Optimization by Genetic Algorithms) is developed by Dr.Lopez from Zaragoza university in Spain. …”
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  8. 8
    Multi-population Genetic Algorithm for Rich Vehicle Routing Problems

    Multi-population Genetic Algorithm for Rich Vehicle Routing Problems by Agany Manyiel, Joseph Mabor

    Published 2020
    “…Results from the experiments show that MPGA-RVRP performs better compared to benchmark, Multi-objective Genetic Algorithm (MOGA). A web-based logistic sys�tem has also been developed as use case for MPGA-RVRP.…”
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    Final Year Project
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  9. 9
    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
    “…The GT-Power model is run simultaneously with mode Frontier to perform multi-objective optimization. Multi-objective Genetic Algorithms (MOGA) are an extension of Genetic Algorithms (GA) that does not require multiple objectives to be aggregated to one value. …”
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    Proceeding Paper
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  10. 10
    A genetic algorithm based approach for economic dispatch in power system / Mohd Rozely Kalil

    A genetic algorithm based approach for economic dispatch in power system / Mohd Rozely Kalil by Kalil, Mohd Rozely

    Published 1998
    “…The Genetic Algorithm developed in the project was tested on two objective functions for optimizing the economic dispatch problem, which are the total generation cost and the incremental cost function. …”
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  11. 11
    Genetic algorithms for urban transit routing problems

    Genetic algorithms for urban transit routing problems by Chew, Joanne Suk Chun

    Published 2012
    “…Thus in this study, one such metaheuristic algorithm, genetic algorithm (GA) is developed to solve the UTRP. …”
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  12. 12
    Application of the genetic algorithm in determining compensating capacitors sizing for loss minimization in power system / Saodah Omar

    Application of the genetic algorithm in determining compensating capacitors sizing for loss minimization in power system / Saodah Omar by Omar, Saodah

    Published 2003
    “…The proposed technique was tested on a 6-bus system and a genetic algorithm programmer was developed using Borland C++ programming language. …”
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  13. 13
    A Method For Solving Mult-Objective Optimization Problem: Vector Evaluated Genetic Algorithm (Vega)

    A Method For Solving Mult-Objective Optimization Problem: Vector Evaluated Genetic Algorithm (Vega) by Tan, Tun Tai

    Published 2009
    “…Nonetheless, GAs which always deal with single objective cannot be used to solve MOOP. Consequently, some components of GAs had been modified to produce Vector Evaluated Genetic Algorithm (VEGA) in order to adapt the nature of MOOP. …”
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    Final Year Project Report / IMRAD
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  14. 14
    A genetic similarity algorithm for searching the Gene Ontology terms and annotating anonymous protein sequences

    A genetic similarity algorithm for searching the Gene Ontology terms and annotating anonymous protein sequences by M. Othman, Razib, Deris, Safaai, Md. IIlias, Rosli

    Published 2008
    “…The genetic similarity algorithm combines semantic similarity measure algorithm with parallel genetic algorithm. …”
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    Article
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  15. 15
    Software metrics selection model for predicting maintainability of object-oriented software using genetic algorithms

    Software metrics selection model for predicting maintainability of object-oriented software using genetic algorithms by Bakar, Abubakar Diwani

    Published 2016
    “…The latest effort to solve this selection problem is the development of the metrics selection model that uses genetic algorithm (GA). …”
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  16. 16
    Optimal route checking using genetic algorithm for UiTM's bus services / Tengku Salman Fathi Tengku Jaafar

    Optimal route checking using genetic algorithm for UiTM's bus services / Tengku Salman Fathi Tengku Jaafar by Tengku Jaafar, Tengku Salman Fathi

    Published 2006
    “…This research study with the development of the Optimal Route Checking Using Genetic Algorithm system should solve this scenario. …”
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  17. 17
    Solving single machine scheduling problem with maximum lateness using a genetic algorithm

    Solving single machine scheduling problem with maximum lateness using a genetic algorithm by Nazif, Habibeh, Lee, Lai Soon

    Published 2010
    “…The results showed that the proposed algorithm is generating better quality solutions compared to other variants of genetic algorithms…”
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  18. 18
    Development of Sudoku puzzle using genetic algorithm / Muhamad Fadzil Mahadzir

    Development of Sudoku puzzle using genetic algorithm / Muhamad Fadzil Mahadzir by Mahadzir, Muhamad Fadzil

    Published 2008
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  19. 19
    Application of Multi-objective Genetic Algorithm (MOGA) for design optimization of valve timing at various engine speeds

    Application of Multi-objective Genetic Algorithm (MOGA) for design optimization of valve timing at various engine speeds by Mohiuddin, A. K. M., Rahman, Mohammed Ataur, Haw Shin, Yap

    Published 2011
    “…The primary concern is to acquire the clear picture of the implementation of Multi-Objective Genetic Algorithm and the essential of variable valve timing effects on the engine performances in various engine speeds. …”
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  20. 20
    Invigilation timetabling system using genetic algorithm (GA) / Shahirah Mohamed Hatim

    Invigilation timetabling system using genetic algorithm (GA) / Shahirah Mohamed Hatim by Shahirah, Mohamed Hatim

    Published 2011
    “…This system is developed for the invigilators and with the objective of constructing an invigilation timetable using Genetic Algorithm. …”
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