Name
Title | ||
|---|---|---|
Decomposition Based Multi-Objective Variable Neighborhood Descent Algorithm for Logistics Dispatching |
Abstract | ||
|---|---|---|
Vehicle routing problem with time window (VRPTW) is the most representative optimization problem in logistics researches, which appears to be a multi-objective optimization problem in essence. However, most previous studies transform it into a single objective optimization problem to deal with. Also, the vehicle routing models in related studies focus on minimizing the cost. However, the efficienc... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TETCI.2020.3002228 | IEEE Transactions on Emerging Topics in Computational Intelligence |
Keywords | DocType | Volume |
Optimization,Logistics,Search problems,Dispatching,Microsoft Windows,Customer satisfaction,Evolutionary computation | Journal | 5 |
Issue | ISSN | Citations |
5 | 2471-285X | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yulin Lan | 1 | 0 | 1.35 |
| Fagui Liu | 2 | 23 | 6.06 |
| Wing W. Y. Ng | 3 | 528 | 56.12 |
| Jun Zhang | 4 | 2491 | 127.27 |
| Mengke Gui | 5 | 0 | 0.68 |