通过对IEEE-30节点系统的计算表明，本文所设计的禁忌遗传算法对于电力系统无功优化问题来说，是正确而有效的。
The computing results against the IEEE 30-node system prove that the method of reactive power optimization based on TSGA proposed in this paper is right and effective.
介绍了一些用于解决堆场空间分配问题的算法，如模拟退火、遗传算法、禁忌算法等。
Introduced a number of algorithms to solve the problem of yard space allocation, such as simulated annealing, genetic algorithms, tabu algorithms.
搜索技术，诸如遗传算法，模拟退火算法，禁忌搜索和随机移动算法，已经广泛应用于全局优化。
Search techniques such as Genetic Algorithms, Simulated Annealing, Tabu Search and Random Walk Algorithms have been used extensively for global optimization.
在分析和研究机场场面滑行路径的基础上，采用了一种遗传禁忌混合算法来求解滑行路径最优。
Based on the analysis and study of the aircrafts ground taxing safety problem, the paper proposed a genetic-tabu hybrid algorithm to solving the optimal taxing path.
本文采用MATLAB语言，编制了应用于电力系统无功优化问题的禁忌遗传算法程序。
Making use of MATLAB language, the paper compiles the TSGA program for reactive power optimization of power system.
本文采用MATLAB语言，编制了应用于电力系统无功优化问题的禁忌遗传算法程序。
Making use of MATLAB language, the paper compiles the TSGA program for reactive power optimization of power system.
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