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。
An improved particle swarm optimization algorithm embedded with greedy search for solution of unit commitment.
求解机组组合问题的嵌入贪婪搜索机制的改进粒子群优化算法。
During the programming of the algorithm for the unit commitment problem, the complex constraints often lead the program to bad structure or wrong result.
在为机组组合问题编制算法的过程中，因需要满足错综复杂的约束条件，容易使程序结构混乱、逻辑判断出错，最终导致算法求解失败。
The optimal unit commitment is solved via the Ant Colony Optimization algorithm in this paper.
采用进化优化算法——蚁群优化算法来求解机组最优启停问题。
In order to reduce the operation cost and optimize the unit commitment, the fast algorithm about unit commitment based on revised BP ANN (Artificial Neural Network) and dynamic search is discussed.
为了使机组达到最优组合，减少运行成本，研究了基于修正BP人工神经网络与动态搜索的快速算法在机组组合中的运用。
To effectively solve the unit optimal commitment of power system, an improved parthenogenetic algorithm (IPGA) is presented.
为了有效地解决火电厂机组优化组合问题，作者提出了一种改进的单亲遗传算法。
An example was tested and showed immune algorithm has good searching performance, and it is efficient for solving unit commitment problem compared with other optimization algorithms.
经实例验证表明，优化免疫算法具有良好的搜索性能，是解决机组优化组合问题的有效方法。
This algorithm has successfully solved unit commitment problem and has gained an excellent results through the experiments in 10 units commitment system study.
本算法运用到模拟10台机组的优化组合研究中，取得了很好的效果。
Finally, the proposed algorithm was improved for solving the unit commitment with ramp rate constrains.
最后，将算法进行改进用于求解考虑机组爬坡速率的机组组合问题。
In this paper an improved dynamic programming method to determine unit commitment is proposed. This proposed method is also named interpolated dynamic programming algorithm.
提出了一种确定机组组合的改进动态规划方法，称为插值动态规划算法。
To the weakness of Genetic Algorithm(GA)and based on the character of the practical question, a refined GA is presented in this paper to optimize the unit commitment in the thermal power plant.
本文针对常规遗传算法缺点，根据具体问题的特征，对火电厂内机组优化组合中的遗传算法从各个环节进行了改进，实例计算表明，该方法收敛性好、适应性强、能更有效地达到或接近全局最优。
A solution to unit commitment via an enhanced binary particle swarm optimization (BPSO) algorithm is presented.
文中提出了一种基于改进离散粒子群优化算法求解机组组合问题的新方法。
A solution to unit commitment via an enhanced binary particle swarm optimization (BPSO) algorithm is presented.
文中提出了一种基于改进离散粒子群优化算法求解机组组合问题的新方法。
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