In this paper, we propose an improved Lagrangian relaxation algorithm to solve job shop scheduling problems.
针对车间调度问题，提出了一种改进的拉氏松弛算法。
By the analyses of applications of the new algorithms and Lagrangian relaxation algorithm, the validity of the algorithms presented in this paper is verified.
通过对该算法及其改进算法以及拉格朗日松弛算法的应用效果分析，验证所提算法的有效性。
However, the relation between unit commitment risk and forced outage capacity is a discrete distribution, the Lagrangian Relaxation unit commitment algorithm isn't used directly.
但由于机组投运风险水平与机组强迫停运容量呈离散型的分布关系，因而难以与拉格朗日松弛法的机组组合算法有机结合。
However, the relation between unit commitment risk and forced outage capacity is a discrete distribution, the Lagrangian Relaxation unit commitment algorithm isn't used directly.
但由于机组投运风险水平与机组强迫停运容量呈离散型的分布关系，因而难以与拉格朗日松弛法的机组组合算法有机结合。
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