Search Results - (( developing generated genetic algorithm ) OR ( java implication based algorithm ))

Refine Results
  1. 1

    Genetic Algorithm for Forecasting Bioinformatic Outcomes of Mutation-induced Cowpeas for Sustainable Development by Kehinde, Okewu, Emmanuel, Okewu, Wong, Ling Shing, Siti Sarah, Maidin

    Published 2023
    “…To demonstrate the practicality of using artificial intelligence (AI) to address these problems, the genetic algorithm is applied to genetic engineering (genetic mutation) of cowpea in a crop improvement program to generate useful bioinformatic information for further improvement of the crop. …”
    Get full text
    Get full text
    Get full text
    Article
  2. 2

    Clustering ensemble learning method based on incremental genetic algorithms by Ghaemi, Reza

    Published 2012
    “…So far, limited genetic-based clustering ensemble algorithms have been developed. …”
    Get full text
    Get full text
    Thesis
  3. 3

    Improved elitist genetic algorithm for reactive power planning in power system / Mohamad Fadhil Mohd Kamal by Mohd Kamal, Mohamad Fadhil

    Published 2010
    “…The genetic algorithm (GA) is a search technique based on the behaviour of natural genetics. …”
    Get full text
    Get full text
    Thesis
  4. 4

    Application of genetic algorithm and JFugue in an evolutionary music generator by Tang, Jia Rou

    Published 2025
    “…This project explores the application of Genetic Algorithms (GA) with JFugue, which is a Java-based music programming library to develop an Evolutionary Music Generator. …”
    Get full text
    Get full text
    Final Year Project / Dissertation / Thesis
  5. 5

    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. …”
    Get full text
    Get full text
    Thesis
  6. 6

    VISUALIZATION OF GENETIC ALGORITHM BASED ON 2-D GRAPH TO ACCELERATE THE SEARCHING WITH HUMAN INTERVENTIONS. by FAROOQ, HUMERA

    Published 2012
    “…The Genetic Algorithm is an area in the field of Artificial Intelligence that is founded on the principles of biological evolution. …”
    Get full text
    Get full text
    Thesis
  7. 7

    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
    “…Within the genetic algorithm framework, each timetable is represented as a chromosome, forming a population of potential timetables refined through successive generations by genetic operators like crossover and mutation. …”
    Get full text
    Get full text
    Get full text
    Article
  8. 8

    Faculty timetabling using genetic algorithm by Liong, Boon Yaun

    Published 2011
    “…Faculty Timetabling using Genetic Algorithm (FTGA) is an application that generate optimum timetable for faculty.The target user of this application is faculty staff who responsible in generate timetable.The problem statement of the project is many clashing exist in the timetable.Faculty staff needs to solve the clashing manually.This will waste time and it is a problem for staff to solve the clashing.By implement GA,clashing will be reduced.The objective of the project is to develop aprototype in scheduling application for generates an optimum timetable for a faculty.Genetic algorithm will be implemented.The scope of FTGA is Faculty of Computer Systems & Software Engineering (FCSSE).The methodology use in this project is prototype model.The testing result show 95 out of 100 test cases achieved the maximum fitness value which means there is no clashing in the timetable.The maximum generation is set to 15 generation.Population for each generation is 3 populations.Percentage of FTGA solve the problem is 95%.…”
    Get full text
    Get full text
    Undergraduates Project Papers
  9. 9

    Metaheuristic searching genetic algorithm based reliability assessment of hybrid power generation system by Abdalla, Ahmed N., Nazir, Muhammad Shahzad, Ming, Xin Jiang, Kadhem, Athraa Ali, Abdul Wahab, Noor Izzri, Suqun, Cao, Rendong, Ji

    Published 2020
    “…The MSGA is based on a combination of metaheuristic scanning and Genetic Algorithm. The MSGA technique is used for evaluating the reliability and adequacy of generation systems integrated with wind/Solar energy is developed. …”
    Get full text
    Get full text
    Get full text
    Article
  10. 10

    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. …”
    Get full text
    Get full text
    Thesis
  11. 11

    VLSI floor planning optimization using genetic algorithm and cross entropy method / Angeline Teoh Szu Fern by Angeline Teoh, Szu Fern

    Published 2012
    “…They are Cross Entropy and also Genetic Algorithm. CE is a new algorithm that was recently developed using probability. …”
    Get full text
    Get full text
    Thesis
  12. 12

    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. …”
    Get full text
    Get full text
    Thesis
  13. 13

    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. …”
    Get full text
    Get full text
    Thesis
  14. 14

    Real-time Cascading Reservoirs Operation using the Genetic Algorithm and Seasonally Varied Models by DERIB ASFAW, TILAHUN

    Published 2013
    “…Accordingly, the study aimed to improve the hydroelectric power generation of the scheme. The genetic algorithm and the seasonally varied models have been developed to maximize the annual hydroelectric power generation of the Perak cascading reservoir. …”
    Get full text
    Get full text
    Thesis
  15. 15
  16. 16
  17. 17

    An Efficient Genetic Algorithm for Large Scale Vehicle Routing Problem Subject to Precedence Constraints by Noraini, Mohd Razali

    Published 2015
    “…Therefore, metaheuristic method based genetic algorithm has been developed to obtain feasible and optimal solution with less computation time. …”
    Get full text
    Get full text
    Get full text
    Article
  18. 18

    Optimal demand response of solar energy generation using Genetic Algorithm / Muhammad Asyraaf Adlan by Adlan, Muhammad Asyraaf

    Published 2025
    “…The aim of this study is to optimize the demand response of solar energy generation using Genetic Algorithm (GA) to minimize the daily yield loss caused by load shedding. …”
    Get full text
    Get full text
    Thesis
  19. 19

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

    Published 2024
    “…Also, the predictive outcomes of the computational simulation that was implemented in Python programming indicate that these local cultivars are developing drought-tolerant genetic variability. For the three computational experiments, the stochastic optimizer (genetic algorithm) converged at the 9412th, 9717th, and 14338th generations respectively. …”
    Get full text
    Get full text
    Get full text
    Article
  20. 20

    A block cipher based on genetic algorithm by Zakaria, Nur Hafiza

    Published 2016
    “…In many algorithms which are based on the genetic algorithm approach, diffusion properties using crossover and mutation function are being generated to produce a secure data transmission. …”
    Get full text
    Get full text
    Get full text
    Thesis