Discovering Dispathcing Rules for Job Shop Schdeuling Using Data Mining
- 1 January 2013
- book chapter
- Published by Springer Nature
- p. 63-72
Abstract
No abstract availableKeywords
This publication has 14 references indexed in Scilit:
- Using data mining to find patterns in genetic algorithm solutions to a job shop scheduleComputers & Industrial Engineering, 2000
- Job Shop Scheduling with Dynamic Fuzzy Selection of Dispatching RulesThe International Journal of Advanced Manufacturing Technology, 2000
- A tutorial survey of job-shop scheduling problems using genetic algorithms—I. representationComputers & Industrial Engineering, 1996
- A game-theoretic control approach for job shops in the presence of disruptionsInternational Journal of Production Research, 1994
- Parallel Taboo Search Techniques for the Job Shop Scheduling ProblemINFORMS Journal on Computing, 1994
- Neural networks for job-shop schedulingControl Engineering Practice, 1994
- Twofold look-ahead search for multi-criterion job shop schedulingInternational Journal of Production Research, 1993
- Two-stage heuristic procedure for scheduling job shopsJournal of Manufacturing Systems, 1993
- The look ahead dispatching procedureInternational Journal of Production Research, 1990
- The Complexity of Flowshop and Jobshop SchedulingMathematics of Operations Research, 1976