%0 Journal Article
%T Developing two multi-objective algorithms for
solving multi-objective flexible job shop
scheduling problem considering total consumed
power per month
%J Industrial Management Studies
%I Allameh Tabataba'i University
%Z 2251-8029
%A Rahmati, Seyed Habib A
%A Zandieh, Mostafa
%D 2012
%\ 12/21/2012
%V 10
%N 27
%P 118-143
%! Developing two multi-objective algorithms for
solving multi-objective flexible job shop
scheduling problem considering total consumed
power per month
%K Flexible job shop scheduling problem
%K total consumed
electric power per month
%K multi-objective biogeography-based
optimization algorithm
%K and multi-objective harmony search algorithm
%R
%X In this paper, to make flexible job shop scheduling problem (FJSP)more realistic, an operational factor is considered in its model. Thisfactor, which is called optimizing total consumed electric power permonth, is known as the most important factor in calculation of theelectric cost of the industries. Considering this factor, specificallyafter subsides elimination of the country, has became more important.In addition to this objective, two other common objectives, calledcomplementation time and critical work load of machines, areconsidered. To solve the multi-objective model, two algorithms,called multi-objective biogeography-based optimization algorithm(MOBBO) and multi-objective harmony search algorithm (MOHS),are developed and introduced to scheduling area for the first time.Finally, by developing some famous libraries of the problem,performance of the algorithms is compared statistically
%U https://jims.atu.ac.ir/article_1905_245bcf83bfcfef8e11d6fa7ec52d39e7.pdf