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Publication
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| Research Title |
Differential Evolution and Particle Swarm Optimization
Algorithm for the Tool Change Scheduling Problem |
| Date of Distribution |
23 January 2017 |
| Conference |
| Title of the Conference |
The SIMMOD 2017 |
| Organiser |
Asian Institute of Technology, KhonKaen University, Chiang Mai University and UbonRatchathani University. |
| Conference Place |
Jomtien Palm Beach Hotel & Resort |
| Province/State |
พัทยา |
| Conference Date |
23 January 2017 |
| To |
25 January 2017 |
| Proceeding Paper |
| Volume |
2017 |
| Issue |
1 |
| Page |
31 |
| Editors/edition/publisher |
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| Abstract |
This paper focuses on solving the scheduling problem in sugarcane cultivation. Normally,
sugarcane growers need to do soil preparation for sugarcane cultivation including six processes: (1) 7 Power
Harrow and Rototiller processes, (2) Rotary Mini Combine processes, (3) 22/24 Disc Harrow processes, (4)
Rotary Mini Combine processes, (5) Sugarcane Plantation processes, and (6) Sugarcane Sprayer processes.
Each of these processes requires both the same and different tools. Hence, allocation of resources is important
because of the limitation in the number of tools and equipment. The objective of this research is to minimize
the makespan. In addition, a Differential Evolution algorithm and Particle swarm optimization algorithm
were developed to solve a problem. Experimental results show that the Differential Evolution algorithm and
the Particle swarm optimization algorithm are very efficient to solve the problem, compared with Differential
Evolution algorithm and the Particle swarm optimization algorithm to evaluate the effectiveness of the
heuristics algorithm from real cases of planting sugarcane. |
| Author |
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| Peer Review Status |
มีผู้ประเมินอิสระ |
| Level of Conference |
นานาชาติ |
| Type of Proceeding |
Full paper |
| Type of Presentation |
Oral |
| Part of thesis |
true |
| Presentation awarding |
false |
| Attach file |
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| Citation |
0
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Journal Publication
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