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.
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.
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.
应用推荐