A Study of Roulette Wheel and Elite Selection on GA to Solve Job Shop Scheduling

  • Sandhya Pasala
  • Balla Nandana Kumar
  • Suresh Chandra Satapathy
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 199)


Usage of Genetic algorithm to solve NP hard problems like job shop scheduling yields remarkable results. The choice of crossover and mutation parameters however effect the GA performance and still the selection off -springs plays a major role in tuning the GA performance and has remarkable significance in controlling early convergence or local convergence. In this paper we tried to study the results of roulette wheel and elite selection process on a linear chromosome structure.


Genetic Algorithm Job Shop Scheduling Roulette wheel Elite Selection 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Sandhya Pasala
    • 1
  • Balla Nandana Kumar
    • 1
  • Suresh Chandra Satapathy
    • 1
  1. 1.Swarnandhra College of Engineering and TechnologyANITSVhskapatnamIndia

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