Search Results - (( using application system algorithm ) OR ( using evolutionary process algorithm ))
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PID Tuning Of Process Plant Using Evolutionary Algorithm
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Final Year Project -
2
Maintain optimal configurations for large configurable systems using multi-objective optimization
Published 2022“…The proposed approach is also used to generate the optimized test suites with the help of different multi-objective Evolutionary Algorithms (MOEAs).…”
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Investigation of evolutionary multi-objective algorithms in solving view selection problem / Seyed Hamid Talebian
Published 2013“…In this research, we showed how evolutionary multi-objective algorithms can be used to solve the view selection problem and its advantage over classical optimization problems were described. …”
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Thesis -
4
Software testing optimization for large systems using agent-based and NSGA-II algorithms
Published 2023“…Consequently, a multi-objective optimization technique can be used to optimize the large system testing process. …”
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Parallel Processing of RSAAlgorithm Using MPI Library
Published 2006“…This report explains the project of developing Parallel Processing of RSA Algorithm Using MPI Library. RSA Algorithm is a public-key cryptosystem that offers encryption technique which security is based on the difficulty of factoring large prime integers. …”
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Final Year Project -
6
Optimization of RFID network planning for monitoring railway mechanical defects based on gradient-based Cuckoo search algorithm
Published 2020“…For the second objective, the Analytic Hierarchy Process (AHP) was used to decide which stations can be used to monitor the railway system optimally. …”
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Thesis -
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Improving the modeling capacity of Volterra model using evolutionary computing methods based on Kalman Smoother adaptive filter
Published 2015“…The first step is combining the forward and backward estimator in the original Volterra model; the second step is reformulating the Volterra model into a state-space model so that the Kalman Smoother (KS) adaptive filter can be used to estimate the kernel coefficients; the third step is optimization of KS parameters using evolutionary computing algorithms such as particle swarm optimization (PSO), genetic algorithm (GA) and artificial bee colony (ABC). …”
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8
Optimisation of PID controller for load frequency control in two-area power system using evolutionary particle swarm optimisation
Published 2016“…Comparison of the performance using PSO and EPSO was made to identify which algorithm is better in controlling the performance of the LFC. …”
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Parallel genetic algorithms for shortest path routing in high- performance computing / Mohd Erman Safawie Che Ibrahim
Published 2012“…This project has the capability to reduce the execution time of application problem using parallel algorithms to increase efficiency of cluster computing. …”
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Thesis -
10
The shortest route of the potential companies for internship using Dijkstra’s Algorithm / Mohamad Khairul Ikhwan Mohd Radzi
Published 2017“…However, for optimum distance, dijkstra algorithm has been used. This algorithm is one of the algorithms used for getting the lowest cost search path. …”
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Thesis -
11
Application of system identification method coupled with evolutionary algorithms for the optimization of power consumption in a pem fuel cell propulsion system / Suhadiyana Hanapi
Published 2018“…Secondly, in this research, an empirical dynamic model of the PEM fuel cell system in vehicles was analyzed and validated using the system identification method……”
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Book Section -
12
Sports tournament scheduling using genetic algorithm / Hafeezur Syakir Abdul Motok@Mohd Ridzuan
Published 2020“…These steps are repeat until a condition satisfied. The system uses the Rapid Application Development (RAD) methodology in system development and will be operate on a web-based platform. …”
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Thesis -
13
Restaurant locator using Djikstra Algorithm / Mohamad Aliff Hakimi Lukman Hakim
Published 2017“…This route-finding problem is one of the most important computer applications in the transportation industry. In network theory, it’s known as the shortest-path problem, and Dijkstra’s algorithm is usually used to solve it. …”
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Thesis -
14
Optimization Of Two-Dimensional Dual Beam Scanning System Using Genetic Algorithms
Published 2008“…The knowledge acquired by the process is interpreted and mapped into vectors, which are kept in the database and used by the system to guide its reasoning process. …”
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15
Railway shortest path planner application using ant colony optimization algorithm / Muhammad Hassan Firdaus Ruslan
Published 2017“…For the process module, Ant Colony Optimization (ACO) algorithm was used to find the shortest path. Using ACO, a Railway Shortest Path Planner (RSPP) application will be developed to help user determine their shortest path from one station to another. …”
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Thesis -
16
The Development Of A Robust Algorithm For Uav Path Planning In 3d Environment
Published 2016“…Significant research has been conducted on Unmanned Aerial Vehicle (UAV) path planning using evolutionary algorithms, such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Differential Evolution (DE), and Biogeographic-Based Optimization (BBO). …”
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Thesis -
17
Fingerprint verification using clonal selection algorithm / Farah Syadiyah Shamsudin
Published 2017“…There will be two processes involved, which are feature extraction using minutiae-based method and also the implementation of the proposed algorithm, CSA. …”
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Optimization of fed-batch fermentation processes using the Backtracking Search Algorithm
Published 2018“…DE traditionally performs better than other evolutionary algorithms and swarm intelligence techniques in optimization of fed-batch fermentation. …”
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Article -
20
Improving the modeling capacity of Volterra model using evolutionary computing methods based on Kalman smoother adaptive filter
Published 2015“…The first step is combining the forward and backward estimator in the original Volterra model; the second step is reformulating the Volterra model into a state-space model so that the Kalman Smoother (KS) adaptive filter can be used to estimate the kernel coefficients; the third step is optimization of KS parameters using evolutionary computing algorithms such as particle swarm optimization (PSO), genetic algorithm (GA) and artificial bee colony (ABC). …”
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