Search Results - (( system implementation function algorithm ) OR ( using solution using algorithm ))
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1
Network reconfiguration and control for loss reduction using genetic algorithm
Published 2010“…The proposed algorithm has been implemented in technical MATLAB package and tested with two examples namely, 18- and 49-bus systems. …”
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2
Festive season balancing groceries optimization / Fairuz Mohamed Razi
Published 2012“…The most important part is during system design and implementation. In this phase, method use in Genetic Algorithm to optimize the system prototype is Rastrigin's function to calculate the fitness of the chromosomes.…”
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3
Enhancement of Ant System Algorithm for Course Timetabling Problem
Published 2009“…Results of the experiments that were conducted using various data sets showed that the proposed algorithm produced better course schedule solution than the Greedy Algorithm, Genetic Algorithm, and other variants of Ant System Algorithm.…”
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4
Comparison of performances of Jaya Algorithm and Cuckoo Search algorithm using benchmark functions
Published 2022“…This paper aims to compare the performance of two metaheuristic algorithms which are Jaya Algorithm (JA) and Cuckoo Search (CS) using some common benchmark functions. …”
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5
A cylindrical coordinate system with dynamic permutation table for blowfish algorithm
Published 2014“…The combination of a DPT with a dynamic 3D S-box strengthens the resistance of the NBA against attacks and increases the randomness of the output.C++ is used in the implementation of both algorithms.The NIST tests are implemented under Linux.…”
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6
Optimal overcurrent relay solutions for protection coordination using metaheuristics approaches with penalty function method
Published 2024“…The algorithms are tested to three test systems which are IEEE 3 bus, 8 bus and 15 bus system to validate the efficiency and superiority of the proposed algorithms. …”
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Malay cuisine cooking recipe recommendation system using Genetic Algorithm (GA) / Nur Nazihah Ismail
Published 2017“…Besides, this system also successfully developed by using Genetic Algorithm technique and lastly, all the system function well. …”
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Development of symbolic algorithms for certain algebraic processes
Published 2007“…From a general algorithm using the comrade matrix approach, the nonmodular and modular techniques are prescribed. …”
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Hybrid of firefly algorithm and pattern search for solving optimization problems
Published 2018“…In the firefly changing position stage, the randomization factor is used to update the solution in each iteration of operational stages. …”
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10
Evolution Performance of Symbolic Radial Basis Function Neural Network by Using Evolutionary Algorithms
Published 2023“…Inspired by evolutionary algorithms, which can iteratively find the nearoptimal solution, different Evolutionary Algorithms (EAs) were designed to optimize the producer output weight of the SRBFNN that corresponds to the embedded logic programming 2Satisfiability representation (SRBFNN2SAT). …”
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11
Development of symbolic algorithms for certain algebraic processes
Published 2007“…From a general algorithm using the comrade matrix approach, the nonmodular and modular techniques are prescribed. …”
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12
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. This project use usability test for user testing system and functionality test to evaluate the efficiency of the game. …”
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13
Optimal placement and sizing of FACTS devices for optimal power flow using metaheuristic optimizers
Published 2022“…This paper proposes the implementation of various metaheuristic algorithms in solving the optimal power flow (OPF) with the presence of Flexible AC Transmission System (FACTS) devices in the power system. …”
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14
Inter-cell and intra-cell facility layout models under different demand environments in cellular manufacturing systems
Published 2012“…Comparison of the results with an adapted algorithm from the literature, in terms of the quality of solutions (material handling cost) shows that the proposed algorithm produces better solutions with a maximum of 0.08% error compared to 0.12% error in the benchmarked algorithm. …”
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15
Evolution Performance of Symbolic Radial Basis Function Neural Network by Using Evolutionary Algorithms
Published 2023“…Inspired by evolutionary algorithms, which can iteratively find the nearoptimal solution, different Evolutionary Algorithms (EAs) were designed to optimize the producer output weight of the SRBFNN that corresponds to the embedded logic programming 2Satisfiability representation (SRBFNN2SAT). …”
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16
Evolution Performance of Symbolic Radial Basis Function Neural Network by Using Evolutionary Algorithms
Published 2023“…Inspired by evolutionary algorithms, which can iteratively find the nearoptimal solution, different Evolutionary Algorithms (EAs) were designed to optimize the producer output weight of the SRBFNN that corresponds to the embedded logic programming 2Satisfiability representation (SRBFNN2SAT). …”
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17
Evolution Performance of Symbolic Radial Basis Function Neural Network by Using Evolutionary Algorithms
Published 2023“…Inspired by evolutionary algorithms, which can iteratively find the nearoptimal solution, different Evolutionary Algorithms (EAs) were designed to optimize the producer output weight of the SRBFNN that corresponds to the embedded logic programming 2Satisfiability representation (SRBFNN2SAT). …”
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18
Evolution Performance of Symbolic Radial Basis Function Neural Network by Using Evolutionary Algorithms
Published 2023“…Inspired by evolutionary algorithms, which can iteratively find the nearoptimal solution, different Evolutionary Algorithms (EAs) were designed to optimize the producer output weight of the SRBFNN that corresponds to the embedded logic programming 2Satisfiability representation (SRBFNN2SAT). …”
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19
Evolution Performance of Symbolic Radial Basis Function Neural Network by Using Evolutionary Algorithms
Published 2023“…Inspired by evolutionary algorithms, which can iteratively find the nearoptimal solution, different Evolutionary Algorithms (EAs) were designed to optimize the producer output weight of the SRBFNN that corresponds to the embedded logic programming 2Satisfiability representation (SRBFNN2SAT). …”
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20
Job recruiting system using sorting Algorithm / Adi Asyraf Ayob
Published 2020“…The functionality of the prototype was tested using Test Script while the usability testing was performed by collecting response from the system users about the usefulness, ease of use, and satisfaction. …”
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