Computer Science ›› 2019, Vol. 46 ›› Issue (11A): 134-137.
• Intelligent Computing • Previous Articles Next Articles
LI Shan-shan, LIU Fu-jiang, LIN Wei-hua
CLC Number:
[1]公安部消防局.中国消防年鉴2015[M].昆明:云南人民出版社,2015. [2]公安部消防局.中国消防年鉴2014[M].昆明:云南人民出版社,2014. [3]公安部消防局.中国消防年鉴2013[M].昆明:云南人民出版社,2013. [4]公安部消防局.中国消防年鉴2012[M].昆明:云南人民出版社,2012. [5]公安部消防局.中国消防年鉴2011[M].昆明:云南人民出版社,2011. [6]公安部消防局.中国消防年鉴2010[M].昆明:云南人民出版社,2010. [7]DORIGO M.Optimization,learning and natural algorithms[D].Milano:Politecnico di Milano,1992. [8]YANG J,SHI M,HAN Z.Research Intelligent Fire Evacuation System Based on Ant Colony Algorithm and MapX[C]∥Se-venth International Symposium on Computational Intelligence and Design.IEEE,2015:100-103. [9]尹克强,郭勇,王丹.WSN在地铁车辆车载设备火灾预警中应用[J].仪表技术与传感器,2014,3(5):87-89. [10]刘笑笑,汪云甲,毕京学,等.矿井火灾逃生路径规划及其三维仿真研究[J].中国安全科学学报,2017,27(10):26-31. [11]ADHIKARI J,PATIL S.Double threshold energy aware load balancing in cloud computing [C]∥2013 Fourth Internat lal Conference on Computing,Communications and Networking Technologies (ICCCNT).IEEE,2013:1-6. [12]NING J,ZHANG Q,ZHANG C,et al.A best-path-updating information-guided ant colony optimization algorithm[J].Information Sciences,2018,433-434:142-162. [13]VISERAS A,LOSADA R O,MERINO L.Planning with ants:Efficient path planning with rapidly exploring random trees and ant colony optimization[J].Int J of Advanced Robotic Systems,2016,13(5):1-16. [14]周锦龙,易永华.基于蚁群算法的矿井救援最短路径研究[J].煤炭技术,2015,34(11):196-197. [15]中华人民共和国国家标准.GB 50016-2014.建筑设计防火规范[S].北京:中国计划出版社,2014. [16]JIAO Z,MA K,RONG Y,et al.A path planning method using adaptive polymorphic ant colony algorithm for smart wheelchairs[J].Journal of Computational Science,2018,25:50-57. [17]MUKHOPADHYAY A,MAULIK U,BBANDYOPADHYA-YS,et al.Survey of Multiobjective Evolutionary Algorithms for Data BANDYOPADHYAY:Part II [J].IEEE Transactions on Evolutionary Computation,2014,18(1):20-35. [18]王晓燕,杨乐,张宇,等.基于改进势场蚁群算法的机器人路径规划[J].控制与决策,2018,33(10):775-1781. [19]杜鹏桢,唐振民,陆建峰,等.不确定环境下基于改进萤火虫算法的地面自主车辆全局路径规划方法[J].电子学报,2014,42(3):616-624. [20]PANDA R K,CHOUDHURY B B.An effective path planning of mobile robot using genetic algorithm[C]∥IEEE Int Conf on Computational Intelligence & Communication Technology.Ghaziabad,2015:287-291. |
[1] | WANG Bing, WU Hong-liang, NIU Xin-zheng. Robot Path Planning Based on Improved Potential Field Method [J]. Computer Science, 2022, 49(7): 196-203. |
[2] | TAN Ren-shen, XU Long-bo, ZHOU Bing, JING Zhao-xia, HUANG Xiang-sheng. Optimization and Simulation of General Operation and Maintenance Path Planning Model for Offshore Wind Farms [J]. Computer Science, 2022, 49(6A): 795-801. |
[3] | CHEN Jing-yu, GUO Zhi-jun, YIN Ya-kun. Full Traversal Path Planning and System Design of Intelligent Lawn Mower Based on Hybrid Algorithm [J]. Computer Science, 2021, 48(6A): 633-637. |
[4] | DU Wan-ru, WANG Xiao-yin, TIAN Tao, ZHANG Yue. Artificial Potential Field Path Planning Algorithm for Unknown Environment and Dynamic Obstacles [J]. Computer Science, 2021, 48(2): 250-256. |
[5] | GUO Qi-cheng, DU Xiao-yu, ZHANG Yan-yu, ZHOU Yi. Three-dimensional Path Planning of UAV Based on Improved Whale Optimization Algorithm [J]. Computer Science, 2021, 48(12): 304-311. |
[6] | ZHAO Yang, NI Zhi-wei, ZHU Xu-hui, LIU Hao, RAN Jia-min. Multi-worker and Multi-task Path Planning Based on Improved Lion Evolutionary Algorithm forSpatial Crowdsourcing Platform [J]. Computer Science, 2021, 48(11A): 30-38. |
[7] | CHEN Ji-qing, TAN Cheng-zhi, MO Rong-xian, WANG Zhi-kui, WU Jia-hua, ZHAO Chao-yang. Path Planning of Mobile Robot with A* Algorithm Based on Artificial Potential Field [J]. Computer Science, 2021, 48(11): 327-333. |
[8] | ZHAO Xiao-wei, ZHU Xiao-jun, HAN Zhou-qing. Hover Location Selection and Flight Path Optimization for UAV for Localization Applications [J]. Computer Science, 2021, 48(11): 345-355. |
[9] | WANG Zi-qiang, HU Xiao-guang, LI Xiao-xiao, DU Zhuo-qun. Overview of Global Path Planning Algorithms for Mobile Robots [J]. Computer Science, 2021, 48(10): 19-29. |
[10] | YANG De-cheng, LI Feng-qi, WANG Yi, WANG Sheng-fa, YIN Hui-shu. Intelligent 3D Printing Path Planning Algorithm [J]. Computer Science, 2020, 47(8): 267-271. |
[11] | JIANG Chen-kai, LI Zhi, PAN Shu-bao, WANG Yong-jun. Collision-free Path Planning of AGVs Based on Improved Dijkstra Algorithm [J]. Computer Science, 2020, 47(8): 272-277. |
[12] | ZHOU Jun and WANG Tian-qi. Single Departure and Arrival Procedure Optimization in Airport Terminal Area Based on Branch and Bound Method [J]. Computer Science, 2020, 47(6A): 552-555. |
[13] | ZENG Wei-liang, WU Miao-sen, SUN Wei-jun, XIE Sheng-li. Comprehensive Review of Autonomous Taxi Dispatching Systems [J]. Computer Science, 2020, 47(5): 181-189. |
[14] | WANG Wei-guang, YIN Jian, QIAN Xiang-li, ZHOU Zi-hang. Realtime Multi-obstacle Avoidance Algorithm Based on Dynamic System [J]. Computer Science, 2020, 47(11A): 111-115. |
[15] | ZHOU Xin-yue, QIAN Li-ping, HUANG Yu-pin, WU Yuan. Optimization Method of Electric Vehicles Charging Scheduling Based on Ant Colony [J]. Computer Science, 2020, 47(11): 280-285. |
|