A novel Unit Tree-based Breadth First Search (UTBFS) algorithm is proposed.
提出基于单元树结构的广度优先搜索算法utbfs。
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。
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。
The memory unit mechanism is proposed to strengthen the local search ability of the algorithm and its calculation speed has been improved.
并采用记忆单元机制，增强了算法局部搜索的能力，提高了其计算速度；
After discussing the control field format of microcommand in computer execution unit, an efficient algorithms is put forth. Then this algorithm is optimized through the search strategy of data mining.
阐述微命令控制字段格式的设计问题及其数学表示方法，提出一个微命令控制字段格式的设计算法，并采用数据挖掘中的搜索策略，进一步优化该算法。
After discussing the control field format of microcommand in computer execution unit, an efficient algorithms is put forth. Then this algorithm is optimized through the search strategy of data mining.
阐述微命令控制字段格式的设计问题及其数学表示方法，提出一个微命令控制字段格式的设计算法，并采用数据挖掘中的搜索策略，进一步优化该算法。
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