Implicit parallelism and global searching are two characteristics of genetic algorithm.

隐含并行性和全局搜索特性是遗传算法的两大特点.

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Evolutionary decision tree method has the advantage of global search.

演化决策树方法将传统的决策树算法与演化算法相结合,具有全局搜索的优点.

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The global search performance of HPSO was validated by the results of the comparative experiments.

实验比较结果验证了该算法的全局搜索性能.

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As a great optimizing method for overall searching, genetic algorithm has been widely adopted.

遗传算法作为一种优异的全局搜索的优化方法得到了广泛应用.

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Global searching and convergence abilities are improved by adaptively changing the pheromone trails evaporation parameters.

该算法利用自适应改变信息激素的挥发系数改善传统蚁群算法的全局搜索能力和收敛速度.

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The contradiction the global exploration and convergence speed particle swarm optimization ( PSO ) algorithm is analyzed.

分析了基本粒子群算法 ( PSO ) 全局搜索能力与收敛速度的矛盾,提出了粒子群相似度的概念.

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Genetic algorithms have been used in many fields as parallel, adaptive and global searching methods.

作为一种并行 、 自适应,全局搜索方法,遗传算法已在多种领域得到应用.

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Theoretically , Global optimum can be reached with Genetic Algorithm GA, but GA converges very slowly.

遗传算法是一种全局搜索方法, 但是它收敛速度慢.

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