| Title of Article |
A Novel Enhanced Differential Evolution Algorithm for Outbound Logistics of the Poultry Industry in Thailand |
| Date of Acceptance |
31 December 2021 |
| Journal |
| Title of Journal |
Journal of Open Innovation: Technology, Market, and Complexity |
| Standard |
SCOPUS |
| Institute of Journal |
MDPI |
| ISBN/ISSN |
|
| Volume |
2022 |
| Issue |
1 |
| Month |
มีนาคม |
| Year of Publication |
2022 |
| Page |
|
| Abstract |
Outbound logistics is a crucial field of logistics management. This study considers a planning distribution for the poultry industry in Thailand. The goal of the study is to minimize the transportation cost for the multi-depot vehicle-routing problem (MDVRP). A novel enhanced differential evolution algorithm (RI-DE) is developed based on a new re-initialization mutation formula and a local search function. A mixed-integer programming formulation is presented in order to measure the performance of a heuristic with GA, PSO, and DE for small-sized instances. For large-sized instances, RI-DE is compared to the traditional DE algorithm for solving the MDVRP using published benchmark instances. The results demonstrate that RI-DE obtained a near-optimal solution of 99.03% and outperformed the traditional DE algorithm with a 2.53% relative improvement, not only in terms of solution performance, but also in terms of computational time. |
| Keyword |
multi-depot vehicle routing problem; novel enhanced differential evolution algorithm; outbound logistics planning |
| Author |
|
| Reviewing Status |
มีผู้ประเมินอิสระ |
| Status |
ได้รับการตอบรับให้ตีพิมพ์ |
| Level of Publication |
นานาชาติ |
| citation |
true |
| Part of thesis |
true |
| Attach file |
|
| Citation |
0
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Publication
Journal Publication
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