Abstract:
In this paper, we enhance the centrality of complex networks using an optimization approach to the degree of centrality within these systems. In fact, work has been done on applying sequential least squares programming (SLSQP) and constrained linear approximation (COBYLA) algorithms. In addition to comparing these algorithms through numerical results, impressive results were obtained that lead us to understand the dynamics of complex networks, which confirms the real possibility of improving network efficiency by adjusting central measurements according to strategic techniques.
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