ملف الباحث

Majdi Mafarja

ورقتان في مجموعة PaperMetrix

المنشورات

أوراق هذا المؤلف

  1. Feature selection using binary particle swarm optimization with time varying inertia weight strategies

    2018

    In this paper, a feature selection approach that based on Binary Particle Swarm Optimization (PSO) with time varying inertia weight strategies is proposed. Feature Selection is an important preprocessing technique that aims to enhance the …

  2. Individual disturbance and neighborhood mutation search enhanced whale optimization: performance design for engineering problems

    2022 · Journal of Computational Design and Engineering

    Abstract The whale optimizer is a popular metaheuristic algorithm, which has the problems of weak global exploration, easy falling into local optimum, and low optimization accuracy when searching for the optimal solution. To solve these …