Parameter tuning of production scheduling rules by an ant system-embedded genetic algorithm

Tsung-Che Chiang, Li Chen Fu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2004 IEEE Conference on Robotics, Automation and Mechatronics
Pages1089-1094
Number of pages6
Publication statusPublished - 2004 Dec 1
Event2004 IEEE Conference on Robotics, Automation and Mechatronics - , Singapore
Duration: 2004 Dec 12004 Dec 3

Publication series

Name2004 IEEE Conference on Robotics, Automation and Mechatronics

Other

Other2004 IEEE Conference on Robotics, Automation and Mechatronics
CountrySingapore
Period04/12/104/12/3

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Chiang, T-C., & Fu, L. C. (2004). Parameter tuning of production scheduling rules by an ant system-embedded genetic algorithm. In 2004 IEEE Conference on Robotics, Automation and Mechatronics (pp. 1089-1094). (2004 IEEE Conference on Robotics, Automation and Mechatronics).