Load-based job releaseSimulation-optimizationJob release is an essential scheduling function and a core part of every production planning and control system. Essentially, job release has to do with the timing and the jobs to release on to the...doi:10.1007/978-3-319-77712-2_66Fernandes, N.O.GDehghanimohammadabadi, MSilva...
In this context, the iterative multimodule optimization strategy based on the push-pull concept was used to boost PN production. The advantage of this strategy is that the stacking of each step increases the PN yield, using either promoter, RBS, or CDS libraries. By enzyme superposition and ...
Aiming at the difficulty of location update, this paper proposes a UWSN positioning technology based on iterative optimization and data position correction (IO-DPC). Firstly, particle swarm optimization technology is used to perform the rough positioning stage of sensor nodes, and iterative optimization...
Iterative Optimization 下载积分: 2000 内容提示: Chapter 3Iterative OptimizationAbstract In this chapter we introduce iterative search methods for minimizing costfunctions, and in particular, the J MSE function. We focus on the methods of SteepestDescent and Newton-Raphson, which belong to the family ...
Demmel, Optimization of Sparse Matrix- Vector Multiplication on Emerging Multicore Platforms, Parallel Comput., pp. 178-194 (35-3), 2009. [16] NVIDIA cuSPARSE and cuBLAS Libraries,http://www.nvidia.com/object/cuda_develop.html [17] Intel Math Kernel Library,http://software.intel.com/en-us...
Two novel hierarchical structures are presented which extend the applicability of previous model-based double iterative loop techniques using input-output information feedback to non-convex problems. The techniques incorporate integrated system optimization and parameter estimation, which utilize process ...
[92] PV, wind and battery Cost and reliability Sequential Monte Carlo simulation(SMCS) SA The uncertainties in load and sources have been modeled using auto regressive moving average (ARMA) model and optimization model is developed using SMCS. The effect of load shifting on the performance of th...
Demmel, Optimization of Sparse Matrix- Vector Multiplication on Emerging Multicore Platforms, Parallel Comput., pp. 178-194 (35-3), 2009. [16] NVIDIA cuSPARSE and cuBLAS Libraries,http://www.nvidia.com/object/cuda_develop.html [17] Intel Math Kernel Library,http://software.intel.com/en-us...
Based on the sensitivity analysis of cross-section parameters, a stepwise iterative optimization algorithm for the posture and geometric parameters of the grinding wheel is proposed. By analyzing the relationship between the core radius and the posture parameters of the grinding wheel, the posture param...
Demmel, Optimization of Sparse Matrix- Vector Multiplication on Emerging Multicore Platforms, Parallel Comput., pp. 178-194 (35-3), 2009. [16] NVIDIA cuSPARSE and cuBLAS Libraries,http://www.nvidia.com/object/cuda_develop.html [17] Intel Math Kernel Library,http://software.intel.com/en-us...