Search Results - (( problem solving a algorithm ) OR ( java application based algorithm ))
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1
Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023“…Genetic algorithms are powerful optimizing techniques that are used successfully to solve problems in many different disciplines. …”
Conference paper -
2
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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3
Group formation using genetic algorithm
Published 2009“…Due to the increasing of complexity in software projects, group work is becoming more important in order to ensure quality software products can be delivered on time.Thus, in universities, group work is seen as a good preparation for students to industry because by working in group, it can reduce the individual workload,improve the ability to manage a project and enhance the problem solving skills. …”
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Monograph -
4
A method for group formation using genetic algorithm
Published 2010“…Due to the increasing of complexity in software projects, group work is becoming more important in order to ensure quality software products can be delivered on time.Thus, in universities, group work is seen as a good preparation for students to enter industry because by working in group, it can reduce the individual workload, improve the ability to manage a project and enhance the problem solving skills. …”
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Batch mode heuristic approaches for efficient task scheduling in grid computing system
Published 2016“…We simulate our proposed algorithms using a Java based simulator that is purposedly built for Grid computing simulations. …”
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Thesis -
6
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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Monograph -
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Tacit knowledge for business intelligence framework using cognitive-based approach
Published 2022“…The framework was tested on 23 librarians from several university libraries in West Java and Yogyakarta, Indonesia. The algorithm starts with a content targeted interview to identify the list of problems faced by librarians. …”
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8
Development of mobile application of event assistant and booking sport facilities for UiTM Seremban 3 Campus using wofkflow management system / Ahmad Haiqal Abd Halim, Ahmad Yusuf...
Published 2019“…Research is conducted to solve the problem by creating an application that fuses the Workflow Management System (WfMS) in the event application at UiTM. …”
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Student Project -
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Approximate maximum clique algorithm (AMCA): A clever technique for solving the maximum clique problem through near optimal algorithm for minimum vertex cover problem
Published 2018“…conclusions: It is a difficult task to directly solve the MC problem through approximation algorithms. …”
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Bats echolocation-inspired algorithms for global optimisation problems
Published 2016“…A modified adaptive bats sonar algorithm is then proposed for solving constrained optimisation problems. …”
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11
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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Final Year Project -
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Application of adaptive bats sonar algorithm for solving a single objective of practical business optimisation problem PROBLEM
Published 2016“…An adaptive bats sonar algorithm to solve single objective optimisation problem is presented. …”
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Iterative methods for solving split common fixed point problems in Hilbert spaces
Published 2016“…To determine the norm of this bounded linear operator is a tough task. In this regard, we consider an algorithm for solving such a problem which does not need any prior information on the norm of the bounded linear operator and establish the convergence results of the proposed algorithm. …”
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14
A discrete simulated kalman filter optimizer for combinatorial optimization problems
Published 2022“…Due to the practical significance of this problem in real-world issues, numerous algorithms have been proposed to solve it. …”
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15
Solving 0/1 Knapsack Problem Using Hybrid HS and Jaya Algorithms
Published 2018“…In this research, a new hybrid algorithm of Harmony search and Jaya search algorithms applied on 0/1 Knapsack problem to find a near optimal results. …”
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Levy slime mould algorithm for solving numerical and engineering optimization problems
Published 2022“…The proposed Levy Slime Mould Algorithm (LSMA) is a novel metaheuristic algorithm that integrates the Levy distribution into a new metaheuristic called Slime Mould Algorithm (SMA) for solving numerical and engineering problems. …”
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Simulated Kalman Filter algorithms for solving optimization problems
Published 2019“…Applications and improvements to the HKA algorithm suggest that optimization algorithm based on estimation principle has a huge potential in solving a wide variety of optimization problems. …”
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Simulated kalman filter with modified measurement, substitution mutation and hamming distance calculation for solving traveling salesman problem
Published 2022“…Findings – The results of the SKF algorithm and the ssSKF algorithm will be evaluated to decide which algorithm is better at solving this type of problem. …”
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CSC126 - Fundamentals of Algorithms and Computer Problem Solving / Faculty of Computer And Mathematical Sciences
Published 2023“…This course is an introduction to problem solving using a computer programming language. …”
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Teaching Resource -
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Barnacles mating optimizer : a new bio-inspired algorithm for solving engineering optimization problems
Published 2020“…This paper presents a novel bio-inspired optimization algorithm namely the Barnacles Mating Optimizer (BMO) algorithm to solve optimization problems. …”
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