@article{(Open Science Index):https://publications.waset.org/pdf/11363,
	  title     = {An Efficient Ant Colony Optimization Algorithm for Multiobjective Flow Shop Scheduling Problem},
	  author    = {Ahmad Rabanimotlagh},
	  country	= {},
	  institution	= {},
	  abstract     = {In this paper an ant colony optimization algorithm is
developed to solve the permutation flow shop scheduling problem. In
the permutation flow shop scheduling problem which has been vastly
studied in the literature, there are a set of m machines and a set of n
jobs. All the jobs are processed on all the machines and the sequence
of jobs being processed is the same on all the machines. Here this
problem is optimized considering two criteria, makespan and total
flow time. Then the results are compared with the ones obtained by
previously developed algorithms. Finally it is visible that our
proposed approach performs best among all other algorithms in the
literature.},
	    journal   = {International Journal of Industrial and Manufacturing Engineering},
	  volume    = {5},
	  number    = {3},
	  year      = {2011},
	  pages     = {598 - 604},
	  ee        = {https://publications.waset.org/pdf/11363},
	  url   	= {https://publications.waset.org/vol/51},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 51, 2011},
	}