• The new algorithm is composed of global searching, local searching and pheromone updating rule.

    算法全局搜索局部搜索信息素更新规则组成

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  • The results indicate that the presented methodology is superior in global searching and quick convergence.

    结果表明方法具有极大的全局搜索快速收敛的优势。

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  • Using pheromone and heuristic function, an ant moving direction can be determined during global searching.

    全局搜索过程中,利用信息素强度启发式函数确定蚂蚁移动方向

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  • The ant colony optimization algorithm is a novel simulated evolution algorithm featuring a robust global searching ability.

    算法模拟进化算法,具有很强全局搜索能力

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  • This can greatly strengthen the cooperation between ants, accelerate the convergence speed and enhance the global searching ability.

    大大增强蚂蚁的合作性,加快了蚁群算法收敛速度提高全局搜索能力。

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  • The algorithm's global searching ability is improved through Cauchy variation, and local searching ability is improved by Gauss variation.

    通过柯西变异提高算法全局搜索能力通过高斯变异,提高算法的局部搜索能力。

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  • Algorithm tests show that this algorithm can improve the speed of convergence efficiently and is good at global searching in solution space.

    算法测试表明改进人工鱼群算法提高了收敛速度,增强了全局搜索能力

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  • The experimental research on symmetry TSP shows that this algorithm has a good performance of global searching and has obtained good results.

    通过对称TSP实验表明算法具有良好全局寻优性能得到好的结果。

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  • Experimental results on traveling salesman problem show that proposed algorithm has a good global searching ability and high convergence speed.

    基于旅行问题实验证明算法具有好的全局搜索能力收敛速度。

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  • The biggest feature of GA is the parallelism and the global searching, so it's very suitable for the multi-goals problems like flight path planning.

    遗传算法最大特点并行性全局优性,特别适用航迹规划类多目标规划问题的求解。

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  • At the same time, the method of time-varying crossover probability factor was adopted to improve the global searching ability and convergence speed of MDE.

    同时采用时变交叉概率因子方法提高算法全局搜索能力收敛速率

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  • The hybrid algorithm based on GA and BP algorithm has both rapid local searching ability derived from BP and better global searching ability derived from GA.

    构建一种基于GA -BP的混合遗传算法来综合遗传算法的全局优化能力BP神经网络的快速收敛能力。

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  • The new GA takes the advantages of the global searching of genetic operators based on probabilities and the advantages of the local searching of the new operators.

    算法充分利用基于概率遗传算子全局搜索能力算子较强的局部搜索能力。

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  • Numerical simulation results show that flexible usage of the evolutionary direction operator and even genetic operations may greatly improve GA's global searching ability.

    仿真结果表明灵活使用方向进化算子以及遗传操作大大提高遗传算法全局搜索能力

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  • Compared to standard PSO, its global searching ability and the speed of convergence is significantly improved, and the premature convergence problem is effectively avoided.

    标准微粒群算法相比,算法全局搜索能力收敛速度得到了显著提高,同时能够有效避免早熟收敛。

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  • It can promote statistic schema to converting into the schema of approximate optimal solution and the global searching performance of population can be improved effectively.

    能够促进统计模式期望模式收敛提高算法搜索性能

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  • These improved measures are of great significance on reducing complexities and enhancing convergence velocity, as well as increasing global searching ability of the algorithm.

    这些改进措施降低算法复杂程度提高算法的收敛速度全局搜索能力重要意义。

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  • The multi-objective line search operator interacts with selected operator, crossover operator and mutation operator, making global searching and local searching be well actualized.

    线搜索算子遗传算法中的选择算子、交叉算子变异算子共同作用,使全局搜索局部搜索都能够很好的实现

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  • The proposed adaptive optimization method has been validated using several analytic function tests. Numerical results show that the algorithm has the property of fast global searching.

    利用解析函数上述自适应优化方法进行验证,算例结果证明算法全局搜索和快速寻优能力。

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  • The evolutionary algorithm using inver-over operator for the traveling salesman problem(TSP) has great ascendancy, because its ability in global searching for optimal individual is powerful.

    使用逆转算子求解TSP演化算法具有很强全局搜索能力求解TSP问题中显示了巨大优势

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  • The evolutionary algorithm using inver-over operator for the traveling salesman problem(TSP) has great ascendancy, because its ability in global searching for optimal individual is powerful.

    使用逆转算子求解TSP演化算法具有很强全局搜索能力求解TSP问题中显示了巨大优势

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