Name
Title | ||
|---|---|---|
A hybrid discrete teaching-learning based meta-heuristic for solving no-idle flow shop scheduling problem with total tardiness criterion. |
Abstract | ||
|---|---|---|
•A discrete teaching phase based on probabilistic model is presented.•A discrete learning phase based on hierarchical structure is presented.•A reinforcement learning phase is added to improve the knowledge of teacher.•The parameters of the HDTLM are calibrated by a design of experiments.•The computational results on Taillard and Ruiz's benchmark set are carried out. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.cor.2018.02.003 | Computers & Operations Research |
Keywords | Field | DocType |
No-idle flow shop scheduling problem,Discrete teaching phase,Discrete learning phase,Reinforcement learning,Total tardiness,Meta-heuristic | Mathematical optimization,Tardiness,Effective method,Idle,Permutation,Flow shop scheduling,Statistical model,Mathematics,Design of experiments,Reinforcement learning | Journal |
Volume | Issue | ISSN |
94 | C | 0305-0548 |
Citations | PageRank | References |
7 | 0.41 | 21 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Weishi Shao | 1 | 70 | 5.06 |
| De-Chang Pi | 2 | 177 | 39.40 |
| Zhongshi Shao | 3 | 92 | 7.91 |