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A study of fluctuations and confidence of implementation in genetic algorithm optimized network in data centre
Published 2018“…Study of fluctuation in genetic algorithm has been a sub-objective in genetic algorithm implementations. …”
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A study of fluctuations and confidence of implementation in genetic algorithm optimized network in data centre
Published 2018“…Study of fluctuation in genetic algorithm has been a sub-objective in genetic algorithm implementations. …”
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Indoor navigation system using Dijkstra's algorithm for emergency situation / Mohd Faizulhayad Mashuri
Published 2015“…Thus, it can be conclude that Dijkstra's algorithm is the best algorithm to be used for route planning compared to Bellman-Ford and A* algorithm.…”
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A DC motor controller using PID algorithm implementation on PIC
Published 2008“…A simulation using MATLAB software is implemented to tune PID algorithm by changing the value of Proportional gain, Kp, Integral gain, Ki and Derivative gain, Kd to get a speed of the motor which is less overshoot and increase settling time. …”
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Undergraduates Project Papers -
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DNA Words Based on an Enhanced Algorithm of Multi-objective Particle Swarm Optimization in a Continuous Search Space
Published 2011“…Overall, the particle which has the optimum fitness value is considered as the best solution. Fitness value of a particle is computed from the average value of all the applied objective functions. …”
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An improved gbln-pso algorithm for indoor localization problem in wireless sensor network
Published 2022“…To achieve the stated aims, we implemented an Improved Global best Local Neigborhood Particle Swarm Optimization (IGbLN-PSO) algorithm. …”
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Analysis of Dijkstra’s and A* algorithm to find the shortest path
Published 2015“…The experimental result showed the search time of A* algorithm is faster than Dijkstra’s algorithm with average value 466ms and the distance is same of the both of algorithms.…”
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Evaluation Algorithm - Based on PID Controller Design for the Unstable Systems
Published 2015“…Particle Swarm Optimization (PSO) is computation method by simulation of swarms behaviour in performing their tasks. In the implementation of PSO in the PID controller, the swarm will travel to search the best value of parameter Kp, Ki and Kd. …”
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Marketplace product recommendation using collaborative filter / Muhammad Alif Fauzan Ismail
Published 2021“…The result show that the MAE value is 0.96 which is good because the good MAE value is the value closest to 1. …”
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Hybrid Real-Value-Genetic-Algorithm and Extended-Nelder- Mead Algorithm for Short Term Energy Demand Prediction
Published 2024“…The ENM was implemented to speed up the search for the best among all solutions produced by the RVGA. …”
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Job recruiting system using sorting Algorithm / Adi Asyraf Ayob
Published 2020“…The purpose of this project is to develop a web-based job recruiting system with implementation of sorting algorithm. The sorting algorithm will assist the recruiters in selecting best job candidate by assigning score to each applicants and sort the applicant list by the finest score value. …”
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FPGA implementation of variable precision Euclid’s GCD algorithm
Published 2017“…Finally, comparisons with previous designs/implementations illustrate that the proposed coprocessor implementation is faster than many reported state-of-the-art solutions. …”
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Enhancing Classification Algorithms with Metaheuristic Technique
Published 2024“…In its operation, the metaheuristic algorithm optimizes the feature selection process,which will later be processed using the classification algorithm.Three (3) meta-heuristics were implemented, namely Genetic Algorithm, Particle Swarm Optimization, and Cuckoo Search Algorithm; the experiment was conducted, and the results were collected and analyzed. …”
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DC MOTOR CONTROL USING GENETIC ALGORITHM BASED PID
Published 2011“…This dissertation presents the research that had been done on the chosen topic, works done and results acquired throughout the Final Year Project for two semesters, about the DC Motor Control using Genetic Algorithm based PID. The objectives of this project are to optimize speed control of the DC motor by using Genetic Algorithm based PID, to improve the performances of the DC motor controller in term of rise time, settling time, maximum overshoot and Integral of Time Absolute Error (ITAE) and to decide the best parameters to be used for Genetic Algorithm that can optimize the performance of a DC Motor ( eg: population size, mutation rate and crossover value). …”
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Final Year Project -
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OPTIMIZATION-BASED METHOD FOR ESTIMATING THE TRANSMISSION RATE OF COVID-19 DURING THE LOCKDOWN IN MALAYSIA
Published 2023“…(t) that fits the SIR model to the actual data. The best fitness value of PSO is mostly stable at approximately 37.5 with the best value of 37.41 at a population size of 1000, whilst the best value for GA slowly decreased to the best value of 47.45 at a population size of 1000. …”
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Optimization-based method for estimating the transmission rate of COVID-19 during the lockdown in Malaysia
Published 2022“…The best fitness value of PSO is mostly stable at approximately 37.5 with the best value of 37.41 at a population size of 1000, whilst the best value for GA slowly decreased to the best value of 47.45 at a population size of 1000. …”
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Indoor navigation system using Dijkstra’s algorithm for emergency situation: article / Mohd Faizulhayad Mashuri
Published 2015“…The connection or paths between each RP can be created to create the best route to the destination. The technique used for the route planning is Dijkstra’s algorithm. …”
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The solution of 2048 puzzle game using A* algorithm / Zafhira Ismail
Published 2017“…The output of this project is the best solution to achieve the goal using A* algorithm. …”
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Thesis -
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