Improvement of Network Reliability by Hybridization of the Penalty Technique Based on Metaheuristic Algorithms

Abstract

In this study, a network created by converting the Petri net into a network for shutdown system, by calculating a network’s nonlinear reliability polynomial by splitting the network into two, each having a source node and an terminal node. This the procedure converts the system into two parallel-series block diagrams that are connected in a series. The metaheuristic algorithm using the honey badger algorithm (HBA) and Dwarf Mongoose Optimization Algorithm (DMO) have been used to improve the problem for the shutdown network hybridizing these algorithms employing the penalty method, we will obtained the (PFMHBA, PFMDMO) algorithms. Thereafter, we compared the results of the use of the hybridization technique with the results of the process that does not use this technique. The objective of this comparison was to ascertain whether the use of hybridization makes the results increasing reliable, reducing cost, and shortening the duration of implementation.

Keywords

• Reliability
• penalty
• dwarf mongoose
• Optimization Algorithms
• Golden Section Search Honey Badger Algorithm (GSS-HBA)