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In this paper the problem of scheduling of n jobs on m non-identical parallel machines is considered. All jobs can be processed on all machines and the processing time and cost of each job depend on the machine on which the job is performed. Jobs cannot be split or divided and all jobs are available at time zero. The goal is to minimize cost which is composed of two parts: earliness-tardiness cost...
This paper analyzes the requirement of a practical job-shop scheduling, which is different from the classical job-shop scheduling problems (JSP), more focus on strict resource constraints. First is formulated a mathematical model. Then described a new method, combined the time Petri net and the hybrid genetic algorithm, to solution of the practical JSP. The time Petri net was used to model discrete...
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