Yusuf Abdurrahman - Academia.edu (original) (raw)
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Papers by Yusuf Abdurrahman
Journal of Advances in Mathematics and Computer Science
The development of metaheuristics and Boolean Satisfiability representation plays an important pa... more The development of metaheuristics and Boolean Satisfiability representation plays an important part in a neural network (NN) and Artificial Intelligence (AI) communities. In this paper, a new hybrid discrete version of the artificial dragonfly algorithm (DADA) applying a minimum objective function in agent-based modelling (ABM) obeying a specified procedure to optimize the states of neurons, for optimal Boolean Exact Satisfiability representation on NETLOGO as a dynamic platform. We combined the artificial dragonfly algorithm for its random searching ability that encourages diverse solutions and formation of static swarm’s mechanism to stimulus computational problems to converge to the best global optimal search space. The global performance of the proposed DADA was compared with genetic algorithm (GA) that are available in the literature based on the global minimum ratio (gM), Local Minimum Ratio (yM), Computational time (CPU) and Hamming distance (HD). The final results showed g...
Yusuf Abdurrahman, 2019
Makalah syi'ah : sejarah dan perkembangan
YUSUF ABDURRAHMAN, 2019
SEJARAH AWAL DAN PERKEMBANGAN HINGGA PANDANGAN KEDEPAN
YUSUF ABDURRAHMAN, 2019
dampak globalisasi pada sektor pariwisata :positif dan negatif
Books by Yusuf Abdurrahman
AL-AHKAM AL-SULTONIAH PDF.
Journal of Advances in Mathematics and Computer Science
The development of metaheuristics and Boolean Satisfiability representation plays an important pa... more The development of metaheuristics and Boolean Satisfiability representation plays an important part in a neural network (NN) and Artificial Intelligence (AI) communities. In this paper, a new hybrid discrete version of the artificial dragonfly algorithm (DADA) applying a minimum objective function in agent-based modelling (ABM) obeying a specified procedure to optimize the states of neurons, for optimal Boolean Exact Satisfiability representation on NETLOGO as a dynamic platform. We combined the artificial dragonfly algorithm for its random searching ability that encourages diverse solutions and formation of static swarm’s mechanism to stimulus computational problems to converge to the best global optimal search space. The global performance of the proposed DADA was compared with genetic algorithm (GA) that are available in the literature based on the global minimum ratio (gM), Local Minimum Ratio (yM), Computational time (CPU) and Hamming distance (HD). The final results showed g...
Yusuf Abdurrahman, 2019
Makalah syi'ah : sejarah dan perkembangan
YUSUF ABDURRAHMAN, 2019
SEJARAH AWAL DAN PERKEMBANGAN HINGGA PANDANGAN KEDEPAN
YUSUF ABDURRAHMAN, 2019
dampak globalisasi pada sektor pariwisata :positif dan negatif
AL-AHKAM AL-SULTONIAH PDF.