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1)  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。
2)  Improved Ant Colony Optimization Algorithm
改进蚁群优化算法
1.
On Traveling Choice in Passenger Dedicated Line Based on Improved Ant Colony Optimization Algorithm;
基于改进蚁群优化算法的客运专线旅客出行方式选择
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3)  improved ACA
改进应蚁群算法
4)  improved ant colony algorithm
改进蚁群算法
1.
Multi-supplier selection problem solution based on improved ant colony algorithm;
基于改进蚁群算法的多供应商选择问题求解
2.
Research on table tennis data mining based on improved ant colony algorithm
基于改进蚁群算法的乒乓球数据挖掘研究
3.
Power distribution network planning based on risk assessment and improved ant colony algorithm
基于风险度评价和改进蚁群算法的配电网网架规划
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5)  improved ant colonies algorithm
改进蚂蚁群算法
6)  Improved Ant Colony Algorithm (IACA)
改进蚁群算法(IACA)
补充资料：緑蚁
1.见"緑蚁"。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
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