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  1. 1

    Development of cell formation algorithm and model for cellular manufacturing system by Nouri, Hossein

    Published 2011
    “…Therefore, for this proposes good benchmarked algorithm, bacteria foraging algorithm is selected and developed to solve multiobjective cell formation model and traced constraints satisfaction handling to produce feasible optimal solution. …”
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  2. 2

    Development of bacteria foraging optimization algorithm for cell formation in cellular manufacturing system considering cell load variations by Nouri, Hossein, Tang, Sai Hong

    Published 2013
    “…This paper investigates the first applications of this emerging novel optimization algorithm to the cell formation (CF) problem. In addition, for this purpose matrix-based bacteria foraging optimization algorithm traced constraints handling (MBATCH) is developed. …”
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  3. 3

    BASE: a bacteria foraging algorithm for cell formation with sequence data by Nouri, Hossein, Tang, Sai Hong, Baharudin, B. T. Hang Tuah, Mohd Ariffin, Mohd Khairol Anuar

    Published 2010
    “…This research work studies the first applications of this emerging novel optimization algorithm to the cell formation (CF) problem considering the operation sequence. …”
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    A New Cell Formation Method Considering Operation Sequences And Production Volumes by Abedini, Panteha

    Published 2013
    “…This research, presents an algorithm for cell formation to minimize intercellular movements. …”
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  8. 8

    Inter-cell and intra-cell facility layout models under different demand environments in cellular manufacturing systems by Ariafar, Shahram

    Published 2012
    “…The model minimizes both inter-cell and intra-cell material handling cost. To solve the model, an algorithm based on Simulated Annealing (SA) is developed in C/C++ namely SA1. …”
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    Computer Lab Timetabling Using Genetic Algorithm Case Study - Unit ICT by Abdullah, Amran

    Published 2006
    “…Genetic Algorithm is one of the most popular optimization solutions used in various applications such as scheduling. …”
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  11. 11

    Hybrid genetic algorithm for improving fault localization by Mahamad Zakaria, Muhammad Luqman, Sharif, Khaironi Yatim, Abd Ghani, Abdul Azim, Koh, Tieng Wei, Zulzalil, Hazura

    Published 2018
    “…Genetic algorithm (GA) is well known in finding an optimal solution to a problem while local search is capable of removing duplication. …”
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    Examination timetabling using genetic algorithm case study: KUiTTHO by Mohd Salikon, Mohd Zaki

    Published 2005
    “…Genetic Algorithm (GA) is one of the most popular optimization solutions. …”
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    An ensemble learning method for spam email detection system based on metaheuristic algorithms by Behjat, Amir Rajabi

    Published 2015
    “…Recently, various techniques based on different algorithms have been developed. …”
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  16. 16

    Development of an integrated model for production planning and cell formation in cellular manufacturing systems by Raminfar, Reza

    Published 2010
    “…One of the most important design steps is the formation of part families and machine cells or cell formation problem (CF), another problem is “how to determine the optimal quantities of different part-types” or in the other word production planning problem in CMS. …”
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  17. 17

    Examination Timetabling Using Genetic Algorithm Case Study : KUiTTHO by Mohd. Zaki, Mohd. Salikon

    Published 2005
    “…Genetic Algorithm (GA) is one of the most popular optimization solutions. …”
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  18. 18

    A Comparative Study of Some Cellular Manufacturing Techniques by Low, W. K., Osman, M. R., M. Yusuff, Rosnah

    Published 2000
    “…Overall, Bond Energy Algorithm (BEA) was found to be the best cell formation technique.…”
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  19. 19

    Design and development of high performance swa cell design for local DNA sequence alignment by Syed Abdul Rahman, Syed Abdul Mutalib Al Junid

    Published 2017
    “…Moreover, the minimal size of the two bit data representation characters format used in the design has resulted in minimizing the temporary memory requirement in the cell design up to 75%. …”
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  20. 20

    Improving Class Timetabling using Genetic Algorithm by Qutishat, Ahmed Mohammed Ali

    Published 2006
    “…We have targeted the research on class timetabling problem. Hence, Genetic Algorithm (GA) is used as one of the most popular optimization solutions. …”
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