GA Based Heuristic to Minimize Makespan in Single Machine Scheduling Problem with Uniform Parallel Machines

HTML  Download Download as PDF (Size: 211KB)  PP. 204-214  
DOI: 10.4236/iim.2011.35025    6,250 Downloads   9,964 Views  Citations

Affiliation(s)

.

ABSTRACT

This paper considers the single machine scheduling problem with uniform parallel machines in which the objective is to minimize the makespan. Four different GA based heuristics are designed by taking different combinations of crossover methods, viz. single point crossover method and two point crossover method, and job allocation methods while generating initial population, viz. equal number of jobs allocation to machines and proportionate number of jobs allocation to machines based on machine speeds. A detailed experiment has been conducted by assuming three factors, viz. Problem size, crossover method and job allocation method on 135 problem sizes each with two replications generated randomly. Finally, it is suggested to use the GA based heuristic with single point crossover method, in which the proportionate number of jobs allocated to machines based on machine speeds.

Share and Cite:

P. Senthilkumar and S. Narayanan, "GA Based Heuristic to Minimize Makespan in Single Machine Scheduling Problem with Uniform Parallel Machines," Intelligent Information Management, Vol. 3 No. 5, 2011, pp. 204-214. doi: 10.4236/iim.2011.35025.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.