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  1. 1
    A genetic algorithm for capital budgeting problem with fuzzy parameters

    A genetic algorithm for capital budgeting problem with fuzzy parameters by Rashidi-Bajgan, Hannaneh, Rezaeian, Javad, Nehzati, Taravatsadat, Ismail, Napsiah

    Published 2010
    “…Thereupon, a fuzzy simulation-based genetic algorithm is provided for solving chance constrained integer programming model with fuzzy parameters.…”
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  2. 2
    Global optimal analysis of variant genetic operations in solar tracking

    Global optimal analysis of variant genetic operations in solar tracking by Fam D.F., Koh S.P., Tiong S.K., Chong K.H.

    Published 2023
    “…Genetic Algorithms (GAs), Evolution Strategies (ES), Evolutionary Programming (EP) and Genetic Programming (GP) are some of the best known types of Evolutionary Algorithm (EA)where it is a class of global search algorithms inspired by natural evolution. …”
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  3. 3
    System program management environment in cloud computing using hybrid Genetic Algorithm and Moth Flame Optimization (GA-MFO)

    System program management environment in cloud computing using hybrid Genetic Algorithm and Moth Flame Optimization (GA-MFO) by Mohd Erwan Mazalan

    Published 2022
    “…Program system assigns user tasks to the suitable Virtual Machines in order to attain Quality of Service (QoS) parameters. …”
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    Academic Exercise
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  4. 4
    Different mutation and crossover set of genetic programming in an automated machine learning

    Different mutation and crossover set of genetic programming in an automated machine learning by Masrom, S., Mohamad, M., Hatim, S.M., Baharun, N., Omar, N., Abd. Rahman, A.S.

    Published 2020
    “…One of the progressing works for automated machine learning improvement is the inclusion of evolutionary algorithm such as Genetic Programming. The function of Genetic Programming is to optimize the best combination of solutions from the possible pipelines of machine learning modelling, including selection of algorithms and parameters optimization of the selected algorithm. …”
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  5. 5
    Different mutation and crossover set of genetic programming in an automated machine learning

    Different mutation and crossover set of genetic programming in an automated machine learning by Masrom, S., Mohamad, M., Hatim, S.M., Baharun, N., Omar, N., Abd. Rahman, A.S.

    Published 2020
    “…One of the progressing works for automated machine learning improvement is the inclusion of evolutionary algorithm such as Genetic Programming. The function of Genetic Programming is to optimize the best combination of solutions from the possible pipelines of machine learning modelling, including selection of algorithms and parameters optimization of the selected algorithm. …”
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  6. 6
    OPTIMAL DESIGN OF A BLDC MOTOR BY GENETIC ALGORITHM

    OPTIMAL DESIGN OF A BLDC MOTOR BY GENETIC ALGORITHM by OTHMAN, AZRUL HISHAM

    Published 2007
    “…Keyword: Brushless DC motor, genetic algorithm and simulated annealing.…”
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  7. 7
    Direct approach for mining association rules from structured XML data

    Direct approach for mining association rules from structured XML data by Abazeed, Ashraf Riad

    Published 2012
    “…The thesis also provides a two different implementation of the modified FLEX algorithm using a java based parsers and XQuery implementation. …”
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  8. 8
    AUTOMATED MODEL GENERATION OF FSM AND NUSMV MODEL FROM RSA JAVA SOURCE CODE FOR MODEL CHECKING

    AUTOMATED MODEL GENERATION OF FSM AND NUSMV MODEL FROM RSA JAVA SOURCE CODE FOR MODEL CHECKING by SALLEH AL-HUMAIKANI, MOHAMMED ABDULQAWI

    Published 2021
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  9. 9
    Intelligent agent for e-commerce using genetic algorithm / Kok Sun Sun

    Intelligent agent for e-commerce using genetic algorithm / Kok Sun Sun by Kok , Sun Sun

    Published 2000
    “…This system is achieved using the Genetic Algorithm which is capable of performing information retrieval and learning algorithm. …”
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  10. 10
    Design Optimization of 3-Phase Rectifier Power Transformers by Genetic Algorithm and Simulated Annealing

    Design Optimization of 3-Phase Rectifier Power Transformers by Genetic Algorithm and Simulated Annealing by K.S., Rama Rao, Md Hasan, Khairul Nisak

    Published 2008
    “…This paper presents the design optimization, by Genetic Algorithm (GA) and Simulated Annealing (SA), of a 3-phase rectifier power transformer supplying a dc load. …”
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  11. 11
    Evaluation of robot path planning algorithms in global static environments: genetic algorithm vs ant colony optimization algorithm / Nohaidda Sariff and Norlida Buniyamin

    Evaluation of robot path planning algorithms in global static environments: genetic algorithm vs ant colony optimization algorithm / Nohaidda Sariff and Norlida Buniyamin by Sariff, Nohaidda, Buniyamin, Norlida

    Published 2010
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  12. 12
    Optimization of machining parameters in turning for different hardness using multi-objective genetic algorithm / Mimi Muzlina Mukri, Nor Atiqah Zolpaka and Sunil Pathak

    Optimization of machining parameters in turning for different hardness using multi-objective genetic algorithm / Mimi Muzlina Mukri, Nor Atiqah Zolpaka and Sunil Pathak by Mukri, Mimi Muzlina, Zolpaka, Nor Atiqah Zolpaka, Pathak, Sunil

    Published 2023
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  13. 13
    A power flow solvability identification and calculation algorithm using evolutionary programming (EP) / Kahardi Muhammad Talib

    A power flow solvability identification and calculation algorithm using evolutionary programming (EP) / Kahardi Muhammad Talib by Muhammad Talib, Kahardi

    Published 2016
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  14. 14
    Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm

    Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm by Norulazmi, Kasim

    Published 2008
    “…The prototype system, known as Java Plagiarism Detection System (JPDS) implements the Greedy-String-Tiling algorithm to detect similarities among tokens in a Java source code files. …”
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  15. 15
    Web based personalized university timetable for UiTM students using genetic algorithm / Mohd Radhi Fauzan Jamli and Ahmad Firdaus Ahmad Fadzil

    Web based personalized university timetable for UiTM students using genetic algorithm / Mohd Radhi Fauzan Jamli and Ahmad Firdaus Ahmad Fadzil by Jamli, Mohd Radhi Fauzan, Ahmad Fadzil, Ahmad Firdaus

    Published 2024
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  16. 16
    Design Optimization of 3-phase rectifier power transformers by Genetic Algorithm and Simulated Annealing

    Design Optimization of 3-phase rectifier power transformers by Genetic Algorithm and Simulated Annealing by K.S., Rama Rao, K.N., Mohd Hassan

    Published 2008
    “…This paper presents the design optimization, by Genetic Algorithm (GA) and Simulated Annealing (SA), of a 3-phase rectifier power transformer supplying a dc load. …”
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    Citation Index Journal
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  17. 17
    Design Optimization of 3-phase rectifier power transformers by Genetic Algorithm and Simulated Annealing

    Design Optimization of 3-phase rectifier power transformers by Genetic Algorithm and Simulated Annealing by K.S., Rama Rao, K.N., Mohd Hassan

    Published 2008
    “…This paper presents the design optimization, by Genetic Algorithm (GA) and Simulated Annealing (SA), of a 3-phase rectifier power transformer supplying a dc load. …”
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  18. 18
    Predictive Analytics in Genetic Engineering as an Optimization Problem

    Predictive Analytics in Genetic Engineering as an Optimization Problem by Okewu, Emmanuel, Okewu Kehinde, Bukola

    Published 2024
    “…For the three computational experiments, the stochastic optimizer (genetic algorithm) converged at the 9412th, 9717th, and 14338th generations respectively. …”
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  19. 19
    Integrated support vector regression and an improved particle swarm optimization-based model for solar radiation prediction

    Integrated support vector regression and an improved particle swarm optimization-based model for solar radiation prediction by Ghazvinian H., Mousavi S.-F., Karami H., Farzin S., Ehteram M., Hossain M.S., Fai C.M., Hashim H.B., Singh V.P., Ros F.C., Ahmed A.N., Afan H.A., Lai S.H., El-Shafie A.

    Published 2023
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  20. 20
    Regionalization by fuzzy expert system based approach optimized by genetic algorithm.

    Regionalization by fuzzy expert system based approach optimized by genetic algorithm. by Chavoshi, Sattar, Sulaiman, Wan Nor Azmin, Saghafian, Bahram, Sulaiman, Md. Nasir, Abd Manaf, Latifah

    Published 2013
    “…In order to investigate the homogeneity (h) of catchments and overcome incompatibility that may occur on boundaries of cluster groups, a fuzzy expert system (FES) approach is used which incorporates physical and climatic characteristics, as well as flood seasonality and geographic location. Genetic algorithm (GA) was employed to adjust parameters of FES and optimize the system. …”
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