Update README.md

README.md

@@ -107,7 +107,7 @@ class Objective:
 
 </details>
 
-### Pickup and Delivery Problem with Time Windows(PDPTW)
+### Pickup and Delivery Problem with Time Windows (PDPTW)
 <details>
     <summary>PDPTW</summary>
 
@@ -188,7 +188,7 @@ class Objective:
 </details>
 
 
-### VRP with Time Windows(VRPTW)
+### VRP with Time Windows (VRPTW)
 <details>
     <summary>VRPTW</summary>
 
@@ -270,7 +270,7 @@ class Objective:
 
 </details>
 
-### Travelling Salesman Problem(TSP)
+### Travelling Salesman Problem (TSP)
 <details>
     <summary>TSP</summary>
 
@@ -319,7 +319,7 @@ class Objective:
 
 </details>
 
-### Split Delivery Vehicle Routing Problem(SDVRP)
+### Split Delivery Vehicle Routing Problem (SDVRP)
 <details>
     <summary>SDVRP</summary>
 
@@ -373,7 +373,7 @@ class Objective:
 
 ### Realistic Business Scenario
 <details>
-    <summary>real-time Dynamic Pickup and Delivery Problem(DPDP)</summary>
+    <summary>real-time Dynamic Pickup and Delivery Problem (DPDP)</summary>
 
 ```python
 from greedrl.feature import *
@@ -613,5 +613,19 @@ $ python solve.py --device cuda --model_name cvrp_5000.pt --problem_size 5000
 We look forward you to downloading it, using it, and opening discussion if you encounter any problems or have ideas on building an even better experience.
 For commercial enquiries, please contact [us](jiangwen.wjw@alibaba-inc.com).
 
+# Citation
+```
+@article{hu2022alibaba,
+  title={Alibaba vehicle routing algorithms enable rapid pick and delivery},
+  author={Hu, Haoyuan and Zhang, Ying and Wei, Jiangwen and Zhan, Yang and Zhang, Xinhui and Huang, Shaojian and Ma, Guangrui and Deng, Yuming and Jiang, Siwei},
+  journal={INFORMS Journal on Applied Analytics},
+  volume={52},
+  number={1},
+  pages={27--41},
+  year={2022},
+  publisher={INFORMS}
+}
+```
+
 # About GreedRL
 - Website: https://greedrl.github.io/