Parallel machine scheduling models with fuzzy processing times

Authors:
Jin Peng;Baoding Liu
Affiliations:
Uncertainty, Theory, Laboratory, Department of Mathematical Sciences, Tsinghua University, Beijing 100084, China;Uncertainty, Theory, Laboratory, Department of Mathematical Sciences, Tsinghua University, Beijing 100084, China
Venue:
Information Sciences—Informatics and Computer Science: An International Journal
Year:
2004

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Abstract

The purpose of this research is to develop a methodology for modeling parallel machine scheduling problems with fuzzy processing times. Three novel types of fuzzy scheduling models are presented. A hybrid intelligent algorithm is also designed for solving these models. Finally, some numerical examples are provided to demonstrate the computational efficiency of the proposed algorithm.