‘Emergency Surgical Scheduling Model Based on Moth-Flame Optimization Algorithm’

“In this paper, we propose an optimization approach based on an improved Moth Flame optimization (MFO) algorithm for solving emergency operating room scheduling problems. The purpose of the MFO is to minimize the maximum span of operations, ensuring patients receive their surgeries in a timely manner. This nature-inspired algorithm stimulates the moth’s special navigation method at night called transverse orientation. The moth uses the moonlight to sustain a fixed angle to the moon, therefore, guaranteeing a straight line.”

Find the paper and full list of authors at the 2023 International Conference on Computing, Networking and Communications.

View on Site: ‘Emergency Surgical Scheduling Model Based on Moth-Flame Optimization Algorithm’