Research on Terminal Path Selection Based on Hybrid Genetic-Ant Colony Algorithm

机译：基于混合蚁群算法的终端路径选择研究

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《International Conference on Computer Engineering and Application》|2020年|353-358|共6页
会议地点 Guangzhou(CN)
作者
Qiu Dongli;
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作者单位

Airport planning and design Institute AVIC CAPDI Beijing China 100120;

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原文格式 PDF
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关键词
Genetic algorithms; Genetics; Encoding; Optimization; Sociology; Statistics;

机译：遗传算法;遗传学编码;优化;社会学;统计;

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1. A Hybrid Genetic-Ant Colony Optimization Algorithm for the Optimal Path Selection [J] . Liu Jiping, Xu Shenghua, Zhang Fuhao, Intelligent automation and soft computing . 2017,第2期

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2. Multi-Objective Task Scheduling Using Hybrid Genetic-Ant Colony Optimization Algorithm in Cloud Environment [J] . Kumar A. M. Senthil, Venkatesan M. Wireless personal communications: An Internaional Journal . 2019,第4期

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3. A hybrid genetic-ant colony optimization algorithm for the word sense disambiguation problem [J] . Wojdan Alsaeedan, Mohamed El Bachir Menai, Saad Al-Ahmadi Information Sciences: An International Journal . 2017,第期

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4. Multi-Stage Partner Selection Based on Genetic-Ant Colony Algorithm in Agile Supply Chain Network [C] . Jinghui Wu, Chris Rizos, Andrew G. Proceedings of the 9th international conference for young computer scientists (ICYCS 2008) . 2008

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5. Path planning using ant colony optimization algorithm. [D] . Shao, Jingqing. 2011

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6. Path Optimization of Medical Waste Transport Routes in the Emergent Public Health Event of COVID-19: A Hybrid Optimization Algorithm Based on the Immune–Ant Colony Algorithm [O] . Ziyuan Liu, Zhi Li, Weiming Chen, 2020

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7. Reconfiguration Performance of the Urban Power Distribution System Based on the Genetic-Ant Colony Fusion Algorithm [O] . Longju Bai 2021

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Research on Terminal Path Selection Based on Hybrid Genetic-Ant Colony Algorithm

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