DISTRIBUTED FLOW SHOP SCHEDULING WITH SEQUENCE-DEPENDENT SETUP TIMES USING AN IMPROVED ITERATED GREEDY ALGORITHM

Distributed Flow Shop Scheduling with Sequence-Dependent Setup Times Using an Improved Iterated Greedy Algorithm

To meet the multi-cooperation production demand of enterprises, the distributed permutation flow shop scheduling problem (DPFSP) has become the frontier research in the field of manufacturing systems.In this paper, we investigate the DPFSP by minimizing a makespan criterion under the constraint of sequence-dependent setup times.To solve DPFSPs, sig

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SAT-Hadoop-Processor: A Distributed Remote Sensing Big Data Processing Software for Earth Observation Applications

Nowadays, several environmental applications take advantage of remote sensing techniques.A considerable volume of this remote sensing data occurs in near real-time.Such data are diverse and are provided with high velocity and variety, their pre-processing requires large computing capacities, and a fast COLOR CORRECTOR BRUNETTES execution time is cr

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