Search Results - (( problem solving method algorithm ) OR ( java application using algorithm ))

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  1. 1

    Group formation using genetic algorithm by Che Ani, Zhamri, Husin, Mohd Zabidin, Yasin, Azman

    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. However, due to lack of programming skills especially in Java programming language and the inability to have meetings frequently among the group members,most of the students’ software project cannot be delivered successfully.To solve this problem, systematic group formation is one of the initial factors that should be considered to ensure that every group consists of quality individuals who are good in Java programming and also to ensure that every group member in a group are staying closer to each other.In this research, we propose a method for group formation using Genetic Algorithms, where the members for each group will be generated based on the students’ programming skill and location of residential colleges.…”
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    Monograph
  2. 2

    A method for group formation using genetic algorithm by Che Ani, Zhamri, Yasin, Azman, Husin, Mohd Zabidin, Abdul Hamid, Zauridah

    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. However, due to lack of programming skills especially in Java programming language, most of the students’ software project cannot be delivered successfully.To solve this problem, systematic group formation is one of the initial factors that should be considered to ensure that every group consists of quality individuals who are good in programming.This paper presents a method for group formation using genetic algorithm, where the members for each group will be generated based on the students’ programming skill.…”
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    Article
  3. 3

    Automated time series forecasting by Ismail, Suzilah, Zakaria, Rohaiza, Tuan Muda, Tuan Zalizam

    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
  4. 4

    Tacit knowledge for business intelligence framework using cognitive-based approach by Surbakti, Herison

    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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    Thesis
  5. 5

    Text messaging encryption system by Sundara Morthty, Nirmala Devi

    Published 2012
    “…The only way to read the information is to know the method on how message is being masked,in this case knowing the algorithm used to encrypt the message. …”
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    Undergraduates Project Papers
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    Application of genetic algorithm methods to optimize flowshop sequencing problem by Mohd Fadil, Md Sairi

    Published 2008
    “…Genetic algorithm method was one of the methods that were widely used in solving optimization problem. …”
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    Undergraduates Project Papers
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    Iterative methods for solving split common fixed point problems in Hilbert spaces by Mohammed, Lawan Bulama

    Published 2016
    “…We also suggest some iterative methods for solving the split common fixed point problems for the class of total quasi asymptotically nonexpansive mappings and prove the convergence results of the proposed algorithms. …”
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    Thesis
  9. 9

    Shuffled frog leaping algorithm for solving economic load dispatch problem / Mohammad Ariffin Aizat Ezanee by Ezanee, Mohammad Ariffin Aizat

    Published 2015
    “…Shuffled Frog Leaping Algorithm (SFLA) is proposed to solve Economic Load Dispatch (ELD) problem. …”
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    Thesis
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    Application of ant colony optimisation algorithms in solving facility layout problems formulated as quadratic assignment problems: a review by See, Phen Chiak, Wong, Kuan Yew

    Published 2008
    “…The main reason is that, QAPs provide possibilities to solve FLPs computationally. To date, there are two common approaches used to solve FLPs formulated as QAPs, that is, exact methods and approximate methods (also known as heuristics). …”
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    Article
  12. 12

    Comparison of Some Numerical Methods for Solving Real-Life Nonlinear Equations by Using Python Programming / Annie Gorgey ... [et al.] by Gorgey, Annie, Zulkifly, Zul Hafiezy, Hassim, Haslinah, Azim, Farah Adilla

    Published 2024
    “…The bisection method converges quickly compared with other methods for solving Planck’s radiation law, while Algorithm 1 converges quicker than other methods for solving the beam design problem. …”
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    Article
  13. 13

    A discrete simulated kalman filter optimizer for combinatorial optimization problems by Suhazri Amrin, Rahmad

    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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    Thesis
  14. 14

    Performance evaluation of heuristic methods in solving symmetric travelling salesman problems by Lim, Yai-Fung, Hong, Pei Yee, Ramli, Razamin, Khalid, Ruzelan, Baten, Md Azizul

    Published 2016
    “…The algorithms proposed in this study should be considered in solving symmetric travelling salesman problems.…”
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    Article
  15. 15

    A Method For Solving Mult-Objective Optimization Problem: Vector Evaluated Genetic Algorithm (Vega) by Tan, Tun Tai

    Published 2009
    “…Genetic Algorithms (GAs) are a powerful stochastic search in solving optimization problems. …”
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    Final Year Project Report / IMRAD
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    Shooting method with root finding to solve boundary value problems / Aryani Rima Matakim by Matakim, Aryani Rima

    Published 2025
    “…The shooting method is an effective numerical approach for solving boundary value problems (BVPs) by converting it into initial value problems (IVPs). …”
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    Thesis
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    Bats echolocation-inspired algorithms for global optimisation problems by Nafrizuan, Mat Yahya

    Published 2016
    “…An adaptive bats sonar algorithm is proposed for solving single objective optimisation problems. …”
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    Thesis
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    Solving economic load dispatch problem using genetic algorithm method / Norliza Kamarulzaman by Kamarulzaman, Norliza

    Published 2009
    “…In this study, Genetic Algorithm method is used to overcome this problem. …”
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    Thesis
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    Artificial bee colony algorithm for solving optimal power flow problem by Le Dinh, L., Vo Ngoc, D., Vasant, P.

    Published 2013
    “…Therefore, the proposed ABC algorithm can be a favorable method for solving the OPF problem. …”
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    Article