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Gong XY, Zhang L (2017) A new method for aerodynamic test of high altitude propellers. (96)00221-0įurini F, Monaci M, Traversi E (2018) Exact approaches for the knapsack problem with setups. įabian V (1997) Simulated annealing simulated. ĭu H, Wei JH, Fang JH (2016) The design, simulation, and experiment of high-accuracy multi-axle electro-hydraulic control servo steering system. ĭahmani I, Hifi M, Saadi T, Yousef L (2020) A swarm optimization-based search algorithm for the quadratic knapsack problem with conflict. SIAM J Comput (USA) 7:1–17Ĭunha V, Santos I, Pessoa L, Hamacher S (2020) An ILS heuristic for the ship scheduling problem: application in the oil industry. Ĭoffman EG, Garey MR, Johnson DS (1978) An application of bin-packing to multiprocessor scheduling. Ĭlautiaux F, Sadykov R, Vanderbeck F, Viaud Q (2018) Combining dynamic programming with filtering to solve a four-stage two-dimensional guillotine-cut bounded knapsack problem. Trans Tech Publications Ltd, Stafa-Zurich, pp 2478–2481. Advanced materials research, vol 591–593. In: Zhang LC, Zhang CL, Horng JH, Chen Z (eds) Manufacturing engineering and automation II, Pts 1–3. Ĭhen LA, Xiao MQ, Yu H, Zhao LL (2012) Artificial bee colony algorithm for the parallel test tasks scheduling. Ĭhandrasekaran G, Periyasamy S, Rajamanickam KP (2020) Minimization of test time in system on chip using artificial intelligence-based test scheduling techniques. īrogardh T (2009) Robot control overview: an industrial perspective. The test time was 247 min shorter than the conventional sequential parallel test and only one min longer than the ideal optimal test completion time.īettinelli A, Cacchiani V, Malaguti E (2017) A branch-and-bound algorithm for the knapsack problem with conflict graph. Finally, an application example was used to verify the efficiency of the proposed method, and the experiment result showed that the proposed method can effectively fulfill the optimal allocation of different IRSS test items of multiple IRSS samples on multiple IRSS comprehensive test platforms. Second, based on the result of IRSS sample-level multi-station scheduling, and taking the ideal optimal test completion time of IRSS multi-station scheduling as the target, the test items at the stations were reallocated to obtain the optimal scheduling result. The optimal result of IRSS sample-level multi-station scheduling was obtained by solving the model. First, the IRSS sample-level scheduling was carried out, and a model was established with reference to the identical parallel machine problem (IPMP). In order to improve IRSS performance test efficiency, a multi-station test scheduling optimization method, which combines IRSS sample-level scheduling and test item-level scheduling, was proposed.

#IRSS CONTACT NUMBER FOR FREE#

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