[1]XUAN Hua,FAN Yinge,LI Bing.Hybrid flowshop scheduling with missing operations and unrelated machines[J].CAAI Transactions on Intelligent Systems,2022,17(3):459-470.[doi:10.11992/tis.202103006]
Copy
CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
17
Number of periods:
2022 3
Page number:
459-470
Column:
学术论文—机器学习
Public date:
2022-05-05
- Title:
-
Hybrid flowshop scheduling with missing operations and unrelated machines
- Author(s):
-
XUAN Hua; FAN Yinge; LI Bing
-
School of Management Engineering, Zhengzhou University, Zhengzhou 450001, China
-
- Keywords:
-
missing operations; unrelated parallel machines; hybrid flowshop; global search; self-adaptive genetic algorithm; neighborhood search; maximum completion time; genetic migrating birds optimization algorithm
- CLC:
-
TP39;TB49
- DOI:
-
10.11992/tis.202103006
- Abstract:
-
The hybrid flowshop scheduling problem with missing processes and unrelated parallel machines extracted from steelmaking and other production processes is studied. An integer programming model is formulated to minimize the maximum completion time, and a genetic migrating birds optimization algorithm based on the global search, self-adaptive genetic algorithm, and migrating birds optimization is proposed to solve the model. The initial population is obtained by the global search considering the machine processing time and random procedure. Then, self-adaptive crossover and mutation operators are developed to improve the solutions of the genetic algorithm. In the iterative process, migrating birds optimization combined with three neighborhood search structures based on the job, machine, and operation position is introduced to update the best solutions. Finally, the experimental results of the genetic migrating birds optimization algorithm are compared with several heuristic algorithms to prove the effectiveness of the proposed model and algorithm.