%0 Journal Article
%T A New Multi-objective Job Shop Scheduling with Setup Times Using a Hybrid Genetic Algorithm
%J International Journal of Engineering
%I Materials and Energy Research Center
%Z 1025-2495
%A emami, leila
%A Sadegheih, A.
%A Fakhrzad, M.B.
%D 2013
%\ 02/01/2013
%V 26
%N 2
%P 207-218
%! A New Multi-objective Job Shop Scheduling with Setup Times Using a Hybrid Genetic Algorithm
%K Job shop scheduling
%K Sequence
%K Dependent Setup Times
%K Multi objective Optimization
%K earliness/tardiness
%K completion time
%K Hybrid evolutionary algorithm
%R
%X This paper presents a new multi objective job shop scheduling with sequence-dependent setup times. The objectives are to minimize the makespan and sum of the earliness and tardiness of jobs in a time window. A mixed integer programming model is developed for the given problem that belongs to NP-hard class. In this case, traditional approaches cannot reach to an optimal solution in a reasonable time. Thus, we propose an efficient multi-objective hybrid genetic algorithm.we assign fitness based dominance relation and weighted aggregate in the genetic algorithm and local search, respectively.We take a variable neighborhood search algorithm as a local improving procedure in the proposed algorithm to the best individuals in the population of GA every specific number generations. To prove the efficiency of our proposed HGA, a number of test problems are solved. Its reliability based on some comparison metrics is compared with a prominent multi-objective evolutionary algorithm, namely SPEA-II. The computational results show that the proposed HGA outperforms the SPEAII algorithm.
%U http://www.ije.ir/article_72088_e794869994c305421c197f529d09602b.pdf