Pancreas Hormones- Inspired Method

Baida'a Lala'a, Ghaleb Al-Gaphari, Nabeel Alsohybe


This paper intends to formulate a new multi-objective inspired method, called Pancreas Hormones Method (PHM) for solving optimization problems. PHM is a population-based method, which based on biological nature of pancreas hormones in the maintenance of blood glucose level in the human body system. The adaptive blood glucose control system has provided useful alternatives and supplements to the types of optimization problems embodied in distributed systems. In this method, cell absorption of glucose is considered as a candidate solution; this happens when each cells' receptors in the human body bind with insulin granule, which allows utilizing glucose by a cell. The pancreas evaluates the fitness of all solutions by measure blood glucose level (BGL) in each iteration (secretion phases). Insulin granules (molecules) tend to target cells randomly and search for the optimal solutions which can get it by retard BGL to normal range. In each generation of the algorithm, the best solution is which can access the BGL to the balance point, whereas the other solutions are considered as a searcher of the search space. In this paper, PHM designed, then it validated, tested on the bases of standard benchmarks and compared with the results of some successful algorithms. The results of PHM are promising.


Pancreas hormones method (PHM); pancreas hormones algorithm (PHA); pancreas hormones; inspired algorithm, optimization

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