2009-2015 ©
Journal Publication
Research Title Differential Evolution and Particle Swarm Optimization Algorithm for the Tool Change Scheduling Problem 
Date of Distribution 23 January 2017 
     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 
     Page 31 
     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. 
597040026-1 Miss KONGKIDAKHON WORASAN [Main Author]
Engineering Doctoral Degree
597040027-9 Mr. KARN MOONSRI
Engineering Doctoral Degree

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
Citation 0