¹Dogus University, Acıbadem, Kadıköy, 34722 İstanbul, Turkey.
²Istanbul Technical University, Maçka, 34357 İstanbul, Turkey.

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Abstract—Migration Birds Algorithm (MBO) is a new optimization algorithm inspired by swarm intelligence. MBO was developed by Duman, Uysal and Alkaya in 2012. They applied it to solve quadratic assignment problem. Some recent studies demonstrate that MBO shows promising results for the problems in continuous domain. Defining an effective neighborhood function is one of the most important phases in heuristic algorithms since it leads a more effective exploration of the solution space. With this motivation, in this work, we analyze the effect of four different neighborhood functions on MBO algorithm. We applied MBO algorithm to 5 different functions on continuous domain. Our contribution in this study is to use different neighborhood functions for MBO. Experimental studies show that while generating neighbors changing all dimensions of the solutions and taking the information of the best solution gives better performance results.

Index Terms—Migration birds algorithm, neighborhood functions, numerical optimization, swarm intelligence.

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Cite: Mitat Uysal, Aysun Güran, Mustafa Zahid Gürbüz, Celal Barkan Güran, "The Effect of Neighborhood Functions on Migrating Birds Optimization for Continuous Domain," Journal of Computers vol. 13, no. 4, pp. 383-392, 2018.