Bat and grey wolf algorithms to optimize complex network reliability
Fouad Hamza Abd Alsharify, Zahir Abdul Haddi Hassan · AIP conference proceedings · 2023
This paper use two contemporary optimization algorithms inspired by nature to optimize the reliability of complex networks. The first one is the Bat (BA) algorithm that simulates the behavior of bats to echo-locate prey and barriers while the second simulates the command hierarchy and style of hunting mode of gray wolves which is called Grey wolf optimization (GWO) algorithm. To find out the best reliability with the lowest cost, we used five different cost functions whose are logarithm, exponential, exponential with feasibility factor, power and tan functions with these two algorithms, and we got different results. A comparison was made between the results of two algorithms, in addition to discussing the results obtained using five cost functions with two algorithms.