Search Results - (( based applications ((bees algorithm) OR (_ algorithm)) ) OR ( web application new algorithm ))

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    Efficient DNS based Load Balancing for Bursty Web Application Traffic by Chin, Mei Lu, Chong, Eng Tan, Mohamad Imran, Bin Bandan

    Published 2012
    “…This research proposes a new efficient load balancing algorithm which applies to the local Domain Name Service (DNS) server for web based applications and services to ease the sudden increase in demand for the services. …”
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    Article
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    Using the bees algorithm to optimise a support vector machine for wood defect classification by Pham, D.T, Muhammad, Zaidi, Mahmuddin, Massudi, Ghanbarzadeh, Afshin, Koc, Ebubekir, Otri, Sameh

    Published 2007
    “…The algorithm, which is a swarm-based algorithm inspired by the food foraging behavior of honey bees, was also employed to select the components making up the feature vectors to be presented to the SVM. …”
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    Conference or Workshop Item
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    Home buyer assistant using artificial bee colony algorithm / Muhammad Izzat Azri Azman by Azman, Muhammad Izzat Azri

    Published 2017
    “…This project used Artificial Bee Colony Algorithms (ABC) by adapting the food foraging behaviour of bee in honey bee and find a suitable house for home buyer based on their requirement. …”
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    Thesis
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    The Application of Artificial Bee Colony and Gravitational Search Algorithm in Reservoir Optimization by Ahmad, A., Razali, S.F.M., Mohamed, Z.S., El-Shafie, Ahmed

    Published 2016
    “…ABC is an algorithm based on the foraging behaviour of bee while GSA imitates the gravitational processes. …”
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    Article
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    Performance Enhancement Of Artificial Bee Colony Optimization Algorithm by Abro, Abdul Ghani

    Published 2013
    “…Artificial Bee Colony (ABC) algorithm is a recently proposed bio-inspired optimization algorithm, simulating foraging phenomenon of honeybees. …”
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    Thesis
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    Content-based recommender system for an academic social network / Vala Ali Rohani by Vala Ali, Rohani

    Published 2014
    “…The rapid growth of Web 2.0 applications, such as blogs and social networks creates rich online information and provides various new sources of knowledge. …”
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    Thesis
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