Browsing by Author "Muhammad Luqman"

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    Artificial showering algorithm: a new meta-heuristic for unconstrained optimization
    (Science International, 2015) Javaid Ali; Muhammad Saeed; Muhammad Luqman; Muhammad Farhan Tabassum
    A novel meta-heuristic known as Artificial Showering Algorithm (ASHA) is presented in this paper. The proposed method is based on flow and accumulation phenomena of water units distributed by human controlled equipment in an ideal field representing the search space. The developed method is applied to benchmarking test functions and quality solutions are obtained. Comparisons witness that the method even at its evolvement phase performs better than pioneering algorithms like Genetic Algorithm, Differential Evolution and Simulated Annealing method.