Genetic Local Search Algorithms for Single Machine Scheduling Problems with Release Time

نویسندگان

  • Jih-Chang Hsieh
  • Pei-Chann Chang
  • Shih-Hsin Chen
چکیده

Single machine scheduling problems with release time are the prototypes for other complicated scheduling systems. Genetic local search algorithms are proposed to minimize total weighted completion time. Numerical experiments to evaluate the three embedding local search techniques are done. The results indicate that the Irj+tj rule proposed by Liu and MacCathy (1991) outperform ERT and WSPT.

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تاریخ انتشار 2006