TY - GEN
T1 - Parameter tuning of production scheduling rules by an ant system-embedded genetic algorithm
AU - Chiang, Tsung Che
AU - Fu, Li Chen
PY - 2004
Y1 - 2004
N2 - In this paper, a search algorithm is proposed for parameter tuning of production rules in job shop scheduling problems. This algorithm is developed based on the genetic algorithm, which is the core for exploration in the search space. Then an ant system is incorporated, which directs the genetic algorithm to search in the potential regions by marking potential genes for changing during reproduction. The improvement of search ability is verified by several experiments.
AB - In this paper, a search algorithm is proposed for parameter tuning of production rules in job shop scheduling problems. This algorithm is developed based on the genetic algorithm, which is the core for exploration in the search space. Then an ant system is incorporated, which directs the genetic algorithm to search in the potential regions by marking potential genes for changing during reproduction. The improvement of search ability is verified by several experiments.
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UR - http://www.scopus.com/inward/citedby.url?scp=11244296542&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:11244296542
SN - 0780386469
SN - 9780780386464
T3 - 2004 IEEE Conference on Robotics, Automation and Mechatronics
SP - 1089
EP - 1094
BT - 2004 IEEE Conference on Robotics, Automation and Mechatronics
T2 - 2004 IEEE Conference on Robotics, Automation and Mechatronics
Y2 - 1 December 2004 through 3 December 2004
ER -