Journal of Software Engineering and Applications

Vol.9 No.5(2016), Paper ID 66867, 7 pages

DOI:10.4236/jsea.2016.95017

 

A Promising Initial Population Based Genetic Algorithm for Job Shop Scheduling Problem

 

Vedavyasrao S. Jorapur, Vinod S. Puranik, Anand S. Deshpande, Mahesh Sharma

 

Department of Industrial and Production Engineering, Basaveshwar Engineering College, Bagalkot, India
Basaveshwar Engineering College, Bagalkot, India
Gogte Institute of Technology, Belagavi, India
Fr. Conceicao Rodrigues College of Engineering, Bandra, West Mumbai, India

 

Copyright © 2016 Vedavyasrao S. Jorapur, Vinod S. Puranik, Anand S. Deshpande, Mahesh Sharma et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

 

How to Cite this Article


Jorapur, V. , Puranik, V. , Deshpande, A. and Sharma, M. (2016) A Promising Initial Population Based Genetic Algorithm for Job Shop Scheduling Problem. Journal of Software Engineering and Applications, 9, 208-214. doi: 10.4236/jsea.2016.95017.

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