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             Publication
Journal Publication
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
597040026-1 Miss KONGKIDAKHON WORASAN [Main Author]
Engineering Doctoral Degree
597040027-9 Mr. KARN MOONSRI
Engineering Doctoral Degree

Reviewing Status มีผู้ประเมินอิสระ 
Status ตีพิมพ์แล้ว 
Level of Publication นานาชาติ 
citation true 
Part of thesis true 
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