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1·A new random optimization algorithm based on population search is proposed.

提出了一种新的基于群体搜索的随机优化算法。

2·A new heuristic optimization algorithm for solving the problem was presented.

提出了解决这类问题的新的启发式优化算法。

3·The iterative optimization algorithm is an important method in pattern recognition.

迭代最优化算法是模式识别中一种重要方法。

4·These researches establish the base to investigate NLOS error optimization algorithm.

这些研究为以后研究NLOS误差的优化算法奠定了基础。

5·An optimization algorithm introduced in this paper can solve this problem efficiently.

本文介绍的一种优化识别算法有效地解决了这个困难。

6·With the compound type algorithm, an optimization algorithm is given to the parameters.

最后以复合形法为优化工具，给出工艺参数的优化算法。

7·Experimental results show that the algorithm is an efficient global optimization algorithm.

实验结果表明，该算法是一种快速有效的全局优化算法。

8·Particle swarm optimization algorithm is a new and efficient evolutionary computation method.

粒子群优化算法是一种新型、高效的进化计算方法。

9·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。

10·First, the single-template algorithm and the multi-templates optimization algorithm are derived.

首先分别给出了单模板算法和多模板优化算法的理论推导；