Improving reliability allocation for complex networks using the Sea Lion Algorithm with three cost functions

Abstract

This research addresses the issue of improving the reliability of complex networks under multiple cost constraints by employing the Sea Lion Optimization (SLO) algorithm. The problem is framed as a constrained optimization model that aims to maximize system reliability by allocating reliability levels to network elements, considering three main cost functions: The proposed methodology relies on an adaptive search mechanism that dynamically balances the exploration and exploitation phases, enhancing the algorithm’s ability to overcome local non-optimal solutions and improve convergence stability. Cost constraints are also incorporated into the update process to ensure that solutions remain within defined economic limits without negatively impacting system performance. The numerical results showed that the proposed model achieves improved overall reliability, along with a more homogeneous reliability distribution among network components, thus reducing critical vulnerabilities and increasing the efficiency of the system as a whole.