Single Objective Evolutionary Algorithm for Job Shop Scheduling Problem

  IJMTT-book-cover
 
International Journal of Mathematical Trends and Technology (IJMTT)          
 
© 2012 by IJMTT Journal
Volume-3 Issue-1                           
Year of Publication : 2012
Authors : G. Uma Sankar,Dr. D. Saravanan

MLA

G. Uma Sankar,Dr. D. Saravanan "Single Objective Evolutionary Algorithm for Job Shop Scheduling Problem"International Journal of Mathematical Trends and Technology (IJMTT),V3(1):38-42.June 2012. Published by Seventh Sense Research Group.

Abstract
we discuss approaches to developing single objective evolutionary algorithm for solving the job shop scheduling problem. Initial population is generated randomly. Two-row chromosome structure is adopted based on working procedure and machine distribution. The relevant crossover and mutation operation is also designed. It jumped from the local optimal solution, and the search area of solution is improved. Finally, the algorithm is tested on instances of 8 working procedure and 5 machines. The result shows that the evolutionary algorithm has been successfully applied to the job shop scheduling problems efficiency.

References

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Keywords
job shop scheduling, evolutionary algorithm