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Application of Improved Ant Colony Algorithm in Solving TSP

机译：改进蚁群算法在求解Tsp中的应用

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Dan Liu; Lijuan Zheng; Jianmin Wang;
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1. Solving Traveling Salesman Problem (TSP) using Ants Colony (ACO) Algorithm and comparing with Tabu Search, Simulated Annealing and Genetic Algorithm [J] . Soudabeh Ghoroghi, Siti Aishah Hassan, Maznah Baba, Journal of applied sciences research . 2012,第7期

机译：使用蚁群算法求解旅行商问题（TSP）并与禁忌搜索，模拟退火和遗传算法进行比较
2. An Interactive Simulation And Analysis Software For Solving Tsp Using Ant Colony Optimization Algorithms [J] . Aybars Ugur, Dogan Aydin Advances in Engineering Software . 2009,第5期

机译：蚁群算法求解茶匙的交互式仿真分析软件
3. Multi-objective four dimensional imprecise TSP solved with a hybrid multi-objective ant colony optimization-genetic algorithm with diversity [J] . Khanra Aditi, Pal Tandra, Maiti Manas Kumar, Journal of intelligent & fuzzy systems: Applications in Engineering and Technology . 2019,第1期

机译：具有多样性的混合多目标蚁群优化 - 遗传算法解决多目标四维不精确TSP
4. An improved hybrid ant colony algorithm and its application in solving TSP [C] . He Min, Pan Dazhi, Yang Song 2014 IEEE 7th Joint International Information Technology and Artificial Intelligence Conference . 2014

机译：改进的混合蚁群算法及其在求解TSP中的应用
5. Random number generators: MC integration and TSP-solving by simulated annealing, genetic, and ant system approaches. [D] . Samanta, Tathagata. 2006

机译：随机数生成器：通过模拟退火，遗传和蚂蚁系统方法进行MC集成和TSP求解。
6. Comparison of the Probabilistic Ant Colony Optimization Algorithm and Some Iteration Method in Application for Solving the Inverse Problem on Model With the Caputo Type Fractional Derivative [O] . Rafał Brociek, Agata Chmielowska, Damian Słota 2020

机译：概率蚁群优化算法的比较及其在求解模型逆问题的应用中的迭代方法Caputo型分数衍生
7. Using the Improved Ant Colony Algorithm to Solve the Chinese TSP [O] . Jing Sun, Yan-ping Bai, Hong-ping Hu, 2014

机译：利用改进的蚁群算法来解决中国茶匙

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