| Title of Article |
Modified Differential Evolution Algorithm for a Transportation Software Application. |
| Date of Acceptance |
10 October 2019 |
| Journal |
| Title of Journal |
Journal of Open Innovation: Technology, Market, and Complexity |
| Standard |
SCOPUS |
| Institute of Journal |
Molecular Diversity Preservation International (MDPI) |
| ISBN/ISSN |
|
| Volume |
5 |
| Issue |
4 |
| Month |
|
| Year of Publication |
2019 |
| Page |
84 |
| Abstract |
This research develops a solution approach that is a combination of a webapplication and the modified differential evolution (MDE) algorithm, aimed at solving a real-time transportation problem. A case study involving an inbound transportation problem in a company that has to plan the direct shipping of a finished product to be collected at the depot where the vehicles are located is presented. In the newly designed transportation plan, a vehicle will go to pick up the raw material required by a certain production plant from the supplier to deliver to the production plant while reducing the transportation costs for the whole system. The reoptimized routing is executed when new information is found. The information that is updated is obtained from the web application and the reoptimization process is executed by the MDE algorithm developed to reveal the solution to the problem. Generally, the original DE comprises four steps: (1) randomly building the initial set of the solution; (2) executing the mutation process; (3) executing the recombination process; and (4) executing the selection process. Originally, for the selection process in DE, the algorithm accepted only the better solution, but in this paper four new selection formulas are presented that can accept a solution that is worse than the current best solution. The formula is used to increase the possibility of escaping from the local optimal solution. The computational results show that the MDE outperforms the original DE in all tested instances. The benefit of using real-time decision-making is that it can increase the company’s profit by 5.90% to 6.42%. |
| Keyword |
Vehicle dispatching problem; inbound transportation problem; modified differential evolution algorithm |
| Author |
|
| Reviewing Status |
มีผู้ประเมินอิสระ |
| Status |
ตีพิมพ์แล้ว |
| Level of Publication |
นานาชาติ |
| citation |
false |
| Part of thesis |
true |
| Attach file |
|
| Citation |
0
|
|
|
Publication
Journal Publication
ไทย