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1)  evolutionary ant algorithm
演化蚁群算法
1.
A new MOPs algorithm,named MEvo-Ant(multi-objective evolutionary ant algorithm),is proposed for the DVRPs(dynamic vehicle routing problem).
为了验证演化蚁群算法,采用2种测试手段:一种是Solomon的测试数据;另一种是在仿真环境下的测试。
2)  ant colony optimization algorithm
蚁群优化算法
1.
Solving 0-1 knapsack problem based on ant colony optimization algorithm;
基于蚁群优化算法的0-1背包问题求解
2.
Research on Warehouse Layout Optimization Based on Ant Colony Optimization Algorithm;
基于蚁群优化算法的仓库布局优化研究
3.
An ant colony optimization algorithm was used to solve the goods picking path planning problem.
该文针对自动化立体仓库单拣选台分层水平旋转货架系统,建立了数学模型,引入基于群集智能的蚁群优化算法解决货物拣选路径规划问题。
3)  evolutionary ant colony algorithm
进化蚁群算法
1.
In order to improve its ability of solving the continuous optimization problems,evolutionary strategy(ES) was taken to modify ACA,and the evolutionary ant colony algorithm(EACA) proposed.
为提高其解决连续优化问题的能力,拓宽应用范围,引入带可变邻域搜索项的进化策略对其进行改进,进而提出进化蚁群算法。
4)  ant colony optimization
蚁群优化算法
1.
Research on ant colony optimization algorithm for the open vehicle routing problem;
开放式车辆路径问题的蚁群优化算法
2.
Research on Several Problems on Basis of Ant Colony Optimization;
基于蚁群优化算法的若干问题的研究
3.
Study on Ant Colony Optimization Algorithm and Its Application to Short Generation Scheduling of Electric Power Systems;
蚁群优化算法及其在电力系统短期发电计划中的应用研究
5)  Ant Colony Optimization(ACO)
蚁群优化算法
1.
Ant Colony Optimization(ACO) behaves well in finding local optimum,whereas its global search depends on selection of the evaporation coefficient.
蚁群优化算法(ACO)的正反馈机制使其具有强大的局部搜索性能,但其全局优化性的优劣在很大程度上与挥发系数的选择有关,如选择得不合适则易将使算法陷入局部最优,而禁忌搜索算法(TS)则具有强大的全局优化性能。
2.
On the basis of the analyses of ant colony optimization(ACO) and particle swarm optimization(PSO),continuous ant-particle swarm optimization(CA-PSO) applied in continuous function optimization is proposed.
在对蚁群优化算法(ACO)和粒子群优化算法(PSO)进行分析的基础上,提出一种解决函数连续优化的群智能混合策略——CA-PSO。
6)  ant colony optimization (ACO) algorithm
蚁群优化(ACO)算法
补充资料:群蚁溃堤
1.喻小患酿成大祸。语本《韩非子.喻老》:"千丈之堤,以蝼蚁之穴溃;百尺之室,以突隙之烟(熛)焚。"
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