期刊名称:Thammasat International Journal of Science and Technology
印刷版ISSN:0859-4074
出版年度:2007
卷号:12
期号:01
页码:31-41
出版社:Printing House of Thammasat University
摘要:Most scheduling problems are combinatorial optimization problems which are too difficult to be
solved optimally, and henceh euristicsa re usedt o obtain good solutionsi n a reasonableti me. The
specificg oal of this paperi s to investigates chedulingh euristics,t o seekt he minimum of a positively
weighted convex sum of makespan, and the number of tardy jobs, in a static hybrid flow shop
environment, where at least one production stage is made up of unrelated parallel machines. In
addition,s equence-anmd achine-dependenset tupt imes are consideredS. omes impled ispatchingr ules
and flow shop makespan heuristics are adapted for the sequencing problem under consideration.
Then, this solution may be improved by a fast polynomial reinsertion algorithm. Moreover, a
simulated annealing algorithm is presented in this paper. Three basic parameters (i.e., cooling
schedulesn, eighborhoods tructuresa, nd initial temperatureso) f a simulateda nnealinga lgorithm are
briefly discussedin this paper.T he performanceo f the heuristicsi s comparedr elativet o eacho thero n
a set of test problems with up to 50 jobs and 20 stages.