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Publication
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| Title of Article |
Hybrid Differential Evolution and Particle Swarm Optimization Algorithm for the Sugarcane Cultivation Scheduling Problem |
| Date of Acceptance |
1 July 2018 |
| Journal |
| Title of Journal |
Chiang Mai University Journal of Natural Sciences (CMUJ of Nat.Sci.) |
| Standard |
SCOPUS |
| Institute of Journal |
Chiang Mai University |
| ISBN/ISSN |
1685-1994 |
| Volume |
2018 |
| Issue |
volume 17,Number 3 |
| Month |
july-september218 |
| Year of Publication |
2018 |
| Page |
241 |
| Abstract |
This paper focuses on optimizing scheduling solutions for the flexible flow shop problem, with tooling constraints and machine eligibility, to minimize makespan for cultivating sugarcane. Normally, preparing the soil for planting sugarcane requires six steps: 1) 7 power harrow and rototiller, 2) rotary mini combine, 3) 22/24 disc harrow, 4) rotary mini combine, 5) sugarcane plantation, and 6) sugarcane sprayer. Each of these steps requires a variety of tools. With limited availability of tools and equipment, resource allocation is important. The objective of this research was to minimize the makespan. For optimal convergence, meta-heuristics, such as a Differential Evolution algorithm, a Particle Swarm optimization algorithm, and a Hybrid DEPSO algorithm were developed to solve the problem. Experimental results showed that all three methods efficiently solved flexible flow shop problems. |
| Keyword |
Scheduling, Tool limitations, Tooling constraints, Tool change, Differential evolution, Particle swarm optimization, Sugarcane |
| Author |
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| Reviewing Status |
มีผู้ประเมินอิสระ |
| Status |
ตีพิมพ์แล้ว |
| Level of Publication |
นานาชาติ |
| citation |
true |
| Part of thesis |
true |
| Attach file |
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| Citation |
0
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Journal Publication
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