Now showing items 1-6 of 6

    • A modified intelligent water drops algorithm and its application to optimization problems

      Alijla, Basem O; Wong, Li-Pei; Lim, Chee Peng; Khader, Ahamad Tajudin; Al-Betar, Mohammed Azmi (Pergamon, 2014)
      The Intelligent Water Drop (IWD) algorithm is a recent stochastic swarm-based method that is useful for solving combinatorial and function optimization problems. In this paper, we investigate the effectiveness of the ...
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      An ensemble of intelligent water drop algorithm for feature selection optimization problem

      Alijla, Basem O; Lim, Chee Peng; Wong, Li-Pei; Khader, Ahamad Tajudin; Al-Betar, Mohammed Azmi (Elsevier, 2018)
      Master River Multiple Creeks Intelligent Water Drops (MRMC-IWD) is an ensemble model of the intelligent water drop, whereby a divide-and-conquer strategy is utilized to improve the search process. In this paper, the potential ...
    • An ensemble of intelligent water drop algorithms and its application to optimization problems

      Alijla, Basem O; Wong, Li-Pei; Lim, Chee Peng; Khader, Ahamad Tajudin; Al-Betar, Mohammed Azmi (Elsevier, 2015)
      The Intelligent Water Drop (IWD) algorithm is a recent stochastic swarm-based method that is useful for solving combinatorial and function optimization problems. In this paper, we propose an IWD ensemble known as the ...
    • Fuzzy rough set approach for selecting the most significant texture features in mammogram images

      Alijla, Basem O; Khader, Ahamad Tajudin; Peng, Lim Chee; Al-Betar, Mohammed Azmi; Pei, Wong LI (IEEE, 2013)
      Breast cancer is one of the most deadly related diseases in women across the world. The survival rate among the patients with the breast cancer will increase, if the disease is detected earlier. Mammogram analysis is one ...
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      Intelligent water drops algorithm for rough set feature selection

      Alijla, Basem O; Peng, Lim Chee; Khader, Ahamad Tajudin; Al-Betar, Mohammed Azmi (Springer, Berlin, Heidelberg, 2013)
      In this article; Intelligent Water Drops (IWD) algorithm is adapted for feature selection with Rough Set (RS). Specifically, IWD is used to search for a subset of features based on RS dependency as an evaluation function. ...
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      β-hill climbing algorithm for Sudoku game

      Al-Betar, Mohammed Azmi; Awadallah, Mohammed A; Bolaji, Asaju La'aro; Alijla, Basem O (IEEE, 2017)
      In this paper, β-Hill Climbing algorithm, the recent local search-based meta-heuristic, are tailored for Sudoku puzzle. β-Hill Climbing algorithm is a new extended version of hill climbing algorithm which has the capability ...