USING GENETIC ALGORITHMS TO SOLVE FUZZY FLOW SHOP SCHEDULING PROBLEMS BASED ON POSSIBILITY AND NECESSITY MEASURES

DOI10.1142/S0218488508005340zbMath1142.90520MaRDI QIDQ3524397

Peng-Jen Lai, Hsien-Chung Wu

Publication date: 9 September 2008

Published in: International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (Search for Journal in Brave)

Mathematics Subject Classification ID

Fuzzy and other nonstochastic uncertainty mathematical programming (90C70) Stochastic scheduling theory in operations research (90B36) Dynamic programming (90C39)

Related Items (1)

Parallel-machine scheduling to minimize makespan with fuzzy processing times and learning effects

Uses Software

• Matlab

Cites Work

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• Single machine batch scheduling problem with resource dependent setup and processing time in the presence of fuzzy due date
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• On two single machine scheduling problems with fuzzy processing times and fuzzy due dates
• Fuzzy programming for multiobjective job shop scheduling with fuzzy processing time and fuzzy duedate through genetic algorithms
• Genetic Algorithms and Random Keys for Sequencing and Optimization
• Fuzzy sets
• AN EVOLUTIONARY ALGORITHM FOR PURE FUZZY FLOWSHOP SCHEDULING PROBLEMS

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