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  1. 1
    Formulating and solving stochastic truck and trailer routing problems using meta-heuristic algorithms / Seyedmehdi Mirmohammadsadeghi

    Formulating and solving stochastic truck and trailer routing problems using meta-heuristic algorithms / Seyedmehdi Mirmohammadsadeghi by Seyedmehdi, Mirmohammadsadeghi

    Published 2015
    “…For solving this problem, the aforesaid algorithms have been applied. …”
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  2. 2
    Different mutation and crossover set of genetic programming in an automated machine learning

    Different mutation and crossover set of genetic programming in an automated machine learning by Masrom, S., Mohamad, M., Hatim, S.M., Baharun, N., Omar, N., Abd. Rahman, A.S.

    Published 2020
    “…As a family of evolutionary based algorithm, the effectiveness of Genetic Programming in providing the best machine learning pipelines for a given problem or dataset is substantially depending on the algorithm parameterizations including the mutation and crossover rates. …”
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  3. 3
    Different mutation and crossover set of genetic programming in an automated machine learning

    Different mutation and crossover set of genetic programming in an automated machine learning by Masrom, S., Mohamad, M., Hatim, S.M., Baharun, N., Omar, N., Abd. Rahman, A.S.

    Published 2020
    “…As a family of evolutionary based algorithm, the effectiveness of Genetic Programming in providing the best machine learning pipelines for a given problem or dataset is substantially depending on the algorithm parameterizations including the mutation and crossover rates. …”
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  4. 4
    Solving transcendental equation using genetic algorithm / Masitah Hambari

    Solving transcendental equation using genetic algorithm / Masitah Hambari by Masitah , Hambari

    Published 2004
    “…This project studies the potential of using Genetic Algorithm and develops a program in order to solve Transcendental Equation in optimizing problem domain. …”
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  5. 5
    Optimize class time tabling by using genetic algorithm technique in UTHM

    Optimize class time tabling by using genetic algorithm technique in UTHM by Ahmad, Izah Rafidah

    Published 2019
    “…A new algorithm was produced to handle the timetabling problem in the university. …”
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  6. 6
    Performance comparison of linear and non-linear great deluge algorithms in solving university course timetabling problems

    Performance comparison of linear and non-linear great deluge algorithms in solving university course timetabling problems by Joe Henry Obit, Yik Junn Kuan, Rayner Alfred

    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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  7. 7
    Loss minimization with SVC installation using the Firefly Algorithm method / Syazana Abdul Halim

    Loss minimization with SVC installation using the Firefly Algorithm method / Syazana Abdul Halim by Abdul Halim, Syazana

    Published 2012
    “…This problem may lead to voltage instability. Highly loaded increases may lead to voltage instability. …”
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  8. 8
    Invigilation timetabling system using genetic algorithm (GA) / Shahirah Mohamed Hatim

    Invigilation timetabling system using genetic algorithm (GA) / Shahirah Mohamed Hatim by Shahirah, Mohamed Hatim

    Published 2011
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  9. 9
    Minimizing makespan of a resource-constrained scheduling problem: a hybrid greedy and genetic algorithms

    Minimizing makespan of a resource-constrained scheduling problem: a hybrid greedy and genetic algorithms by Mohd Ariffin, Mohd Khairol Anuar, Baharudin, B. T. Hang Tuah, Leman, Zulkiflle, Delgoshaei, Aidin

    Published 2015
    “…To solve this problem, many methods have been proposed before. In this article, an effective backward-forward search method (BFSM) is proposed using Greedy algorithm that is employed as a part of a hybrid with a two-stage genetic algorithm (BFSM-GA). …”
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  10. 10
    Development of heuristic methods based on genetic algorithm (GA) for solving vehicle routing problem

    Development of heuristic methods based on genetic algorithm (GA) for solving vehicle routing problem by Ismail, Zuhaimy, Nurhadi, Irhamah, Zainuddin, Zaitul Marlizawati

    Published 2008
    “…Based on the proposed heuristic method, we developed a program to optimize the routing problem using the Visual Studio C++ 6.0 programming language.…”
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    Monograph
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  11. 11
    Algorithm-program visualization model : An intergrated software visualzation to support novices' programming comprehension

    Algorithm-program visualization model : An intergrated software visualzation to support novices' programming comprehension by Affandy

    Published 2015
    “…Taking into account from those main issues, this study introduces the new model of integrated algorithm-program visualization (ALPROV) for developing program comprehension tool. …”
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  12. 12
    Self-similar network traffic using Random Midpoint Displacement (RMD) algorithm / Jumaliah Saarini

    Self-similar network traffic using Random Midpoint Displacement (RMD) algorithm / Jumaliah Saarini by Saarini, Jumaliah

    Published 2006
    “…The way to solve this problem, we applied the existed method in visual C++ programming with used the Random midpoint Displacement (RMD) algorithm. …”
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  13. 13
    Quantum Processing Framework And Hybrid Algorithms For Routing Problems

    Quantum Processing Framework And Hybrid Algorithms For Routing Problems by Soltan Aghaei, Mohammad Reza

    Published 2010
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  14. 14
    Scripting language framework in solving Facility Layout Problem (FLP) based on meta-heuristics hybridization / Suraya Masrom … [et al.]

    Scripting language framework in solving Facility Layout Problem (FLP) based on meta-heuristics hybridization / Suraya Masrom … [et al.] by Masrom, Suraya, Ahmad, Normah, Omar, Nasiroh, Abd Rahman, Abdullah Sani

    Published 2018
    “…Therefore, this research proposes an easy programming approach to solve facility layout problem with meta-heuristics algorithm in a scripting language software framework. …”
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  15. 15
    Designing of disparity map based on hierarchical dynamic programming using satellite stereo imagery

    Designing of disparity map based on hierarchical dynamic programming using satellite stereo imagery by Qayyum A., Malik A.S., Naufal M., Saad M., Mazher M., Rasheed W., Abdullah T.A.R.B.T.

    Published 2023
    Conference Paper
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  16. 16
    A 16kV distribution network reconfiguration by using evolutionaring programming for loss minimizing

    A 16kV distribution network reconfiguration by using evolutionaring programming for loss minimizing by Sulaima, Mohamad Fani, Shidan, Murnie Shakilla, Mohd Dahalan, Wardiah, Mokhlis, Hazlie, Baharom, Mohamad Faizal, Jaafar, Hazriq Izzuan

    Published 2014
    “…In the worldwide trend toward restructuring the electricity network; there are a lot of problems. Where with the increasing of electricity demand, intelligence algorithm is one of the optimization search engine that may help in minimizing the power losses in the power distribution network. …”
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  17. 17
    Hybrid meta-heuristic algorithm for solving multi-objective aggregate production planning in fuzzy environment

    Hybrid meta-heuristic algorithm for solving multi-objective aggregate production planning in fuzzy environment by Kalaf, Kalaf, Bayda Atiya

    Published 2017
    “…For these proposed approaches, this study adopted a hybridization of a fuzzy programming, modify simulated annealing, and simplex downhill (SD) algorithm called Fuzzy-MSASD to resolve multiple objective linear programming APP problems in a fuzzy environment. …”
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  18. 18
    Genetic Algorithm for Forecasting Bioinformatic Outcomes of Mutation-induced Cowpeas for Sustainable Development

    Genetic Algorithm for Forecasting Bioinformatic Outcomes of Mutation-induced Cowpeas for Sustainable Development by Kehinde, Okewu, Emmanuel, Okewu, Wong, Ling Shing, Siti Sarah, Maidin

    Published 2023
    “…To demonstrate the practicality of using artificial intelligence (AI) to address these problems, the genetic algorithm is applied to genetic engineering (genetic mutation) of cowpea in a crop improvement program to generate useful bioinformatic information for further improvement of the crop. …”
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  19. 19
    Solving unit commitment problem by using particle swarm optimization technique / Muhammad Aqil Ab Rahman

    Solving unit commitment problem by using particle swarm optimization technique / Muhammad Aqil Ab Rahman by Ab Rahman, Muhammad Aqil

    Published 2014
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  20. 20
    A Compromise Programming to Task Assignment Problem in Software Development Project

    A Compromise Programming to Task Assignment Problem in Software Development Project by Son, N.T., Jaafar, J., Aziz, I.A., Anh, B.N., Binh, H.D., Aftab, M.U.

    Published 2021
    “…We designed a genetic algorithm scheme to solve the transformed problem. …”
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