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Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
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Developing an intelligent system to acquire meeting knowledge in problem-based learning environments
Published 2006“…Similarly, the algorithm proposed in MALESAbrain can, be used to deal, the problem of conducting a meeting among learners to solve problems. …”
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A method for group formation using genetic algorithm
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Batch mode heuristic approaches for efficient task scheduling in grid computing system
Published 2016“…Many algorithms have been implemented to solve the grid scheduling problem. …”
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Thesis -
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Automated time series forecasting
Published 2011“…While quantitative technique is based on statistical concepts and requires large amount of data in order to formulate the mathematical models.This technique can be classified into projective and causal technique.The projective technique (or univariate modelling) just involve one variable while the causal technique (or econometric modelling) suitable for multi-variables.Since forecasting involves uncertainty, several methods need to be executed on one set of time series data in order to produce accurate forecast.Hence, usually in practice forecaster need to use several softwares to obtain the forecast values.If this practice can be transformed into algorithm (well-defined rules for solving a problem) and then the algorithm can be transformed into a computer program, less time will be needed to compute the forecast values where in business world time is money.In this study, we focused on algorithm development for univariate forecasting techniques only and will expand towards econometric modelling in the future.Two set of simulated data (yearly and non-yearly) and several univariate forecasting techniques (i.e. …”
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Application of adaptive bats sonar algorithm for solving a single objective of practical business optimisation problem PROBLEM
Published 2016“…The proposed algorithm is applied to solve two practical business optimisation problems. …”
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RSA Encryption & Decryption using JAVA
Published 2006“…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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The Evolutionary Convergent Algorithm: A Guiding Path of Neural Network Advancement
Published 2025Article -
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Chaotic Immune Symbiotic Organisms Search algorithm for solving optimisation problem
Published 2023Article -
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Artificial bee colony algorithm for solving optimal power flow problem
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Iterative methods for solving split common fixed point problems in Hilbert spaces
Published 2016“…Our interest here is to apply these mappings to propose some algorithms for solving split common fixed point problems and its variant forms, in the end, we prove the convergence results of these algorithms. …”
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Fast Finite Difference Time Domain Algorithms for Solving Antenna Application Problem
Published 2008“…Only 1 3 and 1 9 parts of the solution domain are solved in the main looping construct for problem in 1D and 2D, while the remaining points are solved outside the loop. …”
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Application of Artificial Immune Algorithm (AIA) in solving engineering problems
Published 2023“…The title for this project is 'Application of Artificial Immune Algorithm (AIA) in Solving Engineering Problems'. The outline of this project design two Graphical User Interfaces (GUI) that can solve two engineering problems based on Artificial Immune Algorithm.…”
text::Final Year Project -
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Application of Artificial Immune Algorithm (AIA) in solving engineering problems
Published 2023“…The tittle for this project is 'Application of Artificial Immune Algorithm (AIA) is Solving Engineering Problems'. The outline of this project is design two Graphical User Interfaces (GUI) that can solve two engineering problems based on Artificial Immune Algorithm.…”
text::Final Year Project -
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A discrete simulated kalman filter optimizer for combinatorial optimization problems
Published 2022“…First, the DSKFO algorithm is used to solve the travelling salesman problem (TSP), and then the algorithm's execution time is measured. …”
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Performance comparison of linear and non-linear great deluge algorithms in solving university course timetabling problems
Published 2017“…The reason may be due to the constraints involved varied for each dataset as the optimization problems solved by any algorithms are uniformed in relation to the NFL theorems.…”
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Solving multi-task optimization problems using the sine cosine algorithm
Published 2022“…Often, optimization problems are solved using metaheuristic algorithms which provide good enough solution within reasonable execution time and limited resources. …”
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