A Novel Hybrid Multi-Verse Optimizer Algorithm for Energy-Efficient Permutation Flow Shop Scheduling Problem

Abstract Recently, The issue of energy consumption has become an that is often considered, and the manufacturing sector contributes to most significant proportion this problem. Energy-Efficient Permutation Flow Shop Scheduling Problem (EEPFSP) effective way solve This research offers a new algorithm Hybrid Multi-Verse Optimizer Algorithm (HMVO). Siz experiments are presented minimize total consumption. In addition, Genetic (GA) Ant Colony Optimization (ACO) algorithms were used as comparison algorithms. experimental results show HMVO requires low iterations small medium EEPFSP cases. However, proposed large case problems. more than GA ACO in solving