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Assignation of PSM evaluator using genetic algorithm by Yap, Suet Lee

“…The purpose of this paper is to present a design of development for Assignation of PSM Evaluator using Genetic Algorithm(APEGA)system.This is an application system that is used to assist the Faculty of Computer System and Software Engineering(FSKKP)of University Malaysia Pahang(UMP)in matching the optimum evaluators for the students in PSM presentation carnival.In the methodology part,a development model which involves with client participation is designed in order to use in the development of this project.The target user of the system is PSM coordinator who is responsible in assigning the PSM evaluator.Assignation of PSM Evaluator using Genetic Algorithm APEGA)is expected to be able in developing a well-distributed matching and overcoming the relevant constraints in an intelligent way. …”
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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

“…The research endeavors to develop a web-based system specifically designed to create personalized university timetables for Universiti Teknologi MARA (UiTM) students using genetic algorithms, aiming to address the urgent need for a customizable timetable solution catering to the diverse scheduling requirements of both repeater and non-repeater students while optimizing course group selection to minimize conflicts and enhance scheduling flexibility. …”
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A genetic algorithm based student attendance management system with biometric identification / Mohammad Hanif Rashid by Rashid, Mohammad Hanif

“…Based on the results obtained in this study, it was revealed that Genetic Algorithm managed to improve the quality of the images. …”
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RSA Encryption & Decryption using JAVA by Ramli, Marliyana

“…The implementation of this project will be based on Rapid Application Design Methodology (RAD) and will be more focusing on research and finding, ideas and the implementation of the algorithm, and finally running and testing the algorithm. …”
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Computer Lab Timetabling Using Genetic Algorithm Case Study - Unit ICT by Abdullah, Amran

“…Genetic Algorithm is one of the most popular optimization solutions used in various applications such as scheduling. …”
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Automated scheduling of hostel room allocation using genetic algorithm by Rayner Alfred, Hin, Fuk Yu

“…The proposed approach involves selecting eligible students using rank based selection method and allocating selected students to the most suitable hostel room possible via the implementation of a genetic algorithm (GA). …”
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Intership supervisor selection using genetic algorithms by Karim, Junaida

“…By using genetic algorithm approach, the priority factors for the assigning faculty supervisor to internship student has been identified and also development model of selection has been done to fulfill the criteria for the selection specified by the FTMK. …”
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Exam hall allocation using genetic algorithm / Norisyani Binti Fauzai by Fauzai, Norisyani

“…In this project an automated exam hall allocation prototype was developed using the genetic algorithm since this algorithm is commonly used to produce high-quality optimization solutions. …”
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Malay cuisine cooking recipe recommendation system using Genetic Algorithm (GA) / Nur Nazihah Ismail by Ismail, Nur Nazihah

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Examination timetabling using genetic algorithm case study: KUiTTHO by Mohd Salikon, Mohd Zaki

“…Genetic Algorithm (GA) is one of the most popular optimization solutions. …”
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Development of Genetic Algorithms and Multilayer Perceptron Neural Network (Mpnn) Model To Study The Student Performance InThermodynamics by K., Kadirgama, M. M., Noor, M. S. M., Sani, M. M., Rahman, M. R. M., Rejab

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Examination Timetabling Using Genetic Algorithm Case Study : KUiTTHO by Mohd. Zaki, Mohd. Salikon

“…Genetic Algorithm (GA) is one of the most popular optimization solutions. …”
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Comparison of Search Algorithms in Javanese-Indonesian Dictionary Application by Yana Aditia, Gerhana, Nur, Lukman, Arief Fatchul, Huda, Cecep Nurul, Alam, Undang, Syaripudin, Devi, Novitasari

“…Performance Testing is used to test the performance of algorithm implementations in applications. …”
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Evaluate the performance of university course timetabling problem with different combinations of genetic algorithm by Foo, Yao Heng

“…Due to the effectiveness of genetic algorithm (GA) in optimisation problems, it has been widely discussed in numerous research to address UCTP. …”
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University class timetable tool by Ang, Wen Jie

“…It will provide the students with the concepts, structures, and design of an automated timetabling tool using Genetic Algorithm. …”
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Solving a bus driver scheduling problem: A genetic algorithm approach by Ramli, Razamin, Ibrahim, Haslinda, Lim, Tze Shung

“…Hence, in assisting the management of the transport company the authors have identified the inefficiency of their bus driver scheduling system as one of the main problems, which needed to be tackled.For that reason, the authors developed an efficient bus driver scheduling model based on the Genetic Algorithm (GA) approach.The GA model is able to provide some resolutions and insight in relation to these inquiries: What are the constraints being considered in this bus driver scheduling problem?…”
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Menu Planning Model for Malaysian Boarding School Using Self-Adaptive Hybrid Genetic Algorithms by Siti Noor Asyikin, Mohd Razali

“…In this study, self-adaptive hybrid genetic algorithm (SHGA) approach has been proposed to solve the menu planning problem for Malaysian boarding school students aged 13 to 18 years old. …”
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Evaluate the performance of university timetabling problem with various artificial intelligence techniques by Hooi, Charmaine Wai Yee

“…The project focuses on developing an automated university course timetable scheduling tool using Genetic Algorithm (GA). …”
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Malaysian menu planning model using Self-adaptive Hybrid Genetic Algorithm (SHGA) by Mohd Razali, Siti Noor Asyikin, Engku Abu Bakar, Engku Muhammad Nazri, Ku-Mahamud, Ku Ruhana, Arbin, Norazman, Rusiman, Mohd Saifullah

“…The aim of this research is to propose a self adaptive hybrid genetic algorithm (SHGA) approach to solve Malaysian menu planning problem for adolescents aged 13 to 18 years old. …”
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Combining approximation algorithm with genetic algorithm at the initial population for NP-complete problem by Razip, H., Zakaria, M.N.

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