[1] 薛裕颖,张祥银,张国梁,等.基于量子行为烟花算法的移动机器人路径规划及平滑[J].控制理论与应用,2019,36(9):1398-1408. XUE Yu-ying,ZHANG Xiang-yin,ZHANG Guo-liang,et al.Path planning and smoothing based on quantum-behaved fireworks algorithm for mobile robot[J].Control Theory & Applications,2019,36(9):1398-1408.(in Chinese)
[2] 许凯波,鲁海燕,黄洋,等.基于双层蚁群算法和动态环境的机器人路径规划方法[J].电子学报,2019,47(10):2166-2176. XU Kai-bo,LU Hai-yan,HUANG Yang,et al.Robot path planning based on double-layer ant colony optimization algorithm and dynamic environment[J].Acta Electronica Sinica,2019,47(10):2166-2176.(in Chinese)
[3] 尹高扬,周绍磊,吴青坡.基于改进RRT算法的无人机航迹规划[J].电子学报,2017,45(7):1764-1769. YIN Gao-yang,ZHOU Shao-lei,WU Qing-po.An improved RRT algorithm for UAV path planning[J].Acta Electronica Sinica,2017,45(7):1764-1769.(in Chinese)
[4] 刘景森,吉宏远,李煜.基于改进蝙蝠算法和三次样条插值的机器人路径规划[J/OL].自动化学报, http://kns.cnki.net/kcms/detail/11.2109.TP.20190325.1534.003.html.2019-03-25. LIU Jing-Sen,JI Hong-Yuan,LI Yu.Robot path planning based on improved bat algorithm and cubic spline interpolation[J/OL].Acta Automatica Sinica,http://kns.cnki.net/kcms/detail/11.2109.TP.20190325.1534.003.html.2019-03-25.(in Chinese)
[5] 贾会群,魏仲慧,何昕,等.基于改进粒子群算法的路径规划[J].农业机械学报,2018,49(12):371-377. JIA Huiqun,WEI Zhonghui,HE Xin,et al.Path planning based on improved particle swarm optimization algorithm[J].Transactions of the Chinese Society for Agricultural Machinery,2018,49(12):371-377.(in Chinese)
[6] Mirjalili S,Gandomi A H,Mirjalili S Z,et al.Salp swarm algorithm:A bio-inspired optimizer for engineering design problems[J].Advances in Engineering Software,2017,114(6):163-191.
[7] Faris H,Mafarja M M,Heidari A A,et al.An efficient binary salp swarm algorithm with crossover scheme for feature selection problems[J].Knowledge-Based Systems,2018,154:43-67.
[8] Sayed G I,Khoriba G,Haggag M H.A novel chaotic salp swarm algorithm for global optimization and feature selection[J].Applied Intelligence,2018,48(10):3462-3481.
[9] 杨博,钟林恩,朱德娜,等.部分遮蔽下改进樽海鞘群算法的光伏系统最大功率跟踪[J].控制理论与应用,2019,36(3):339-352. YANG Bo,ZHONG Lin-en,ZHU De-na,et al.Modified salp swarm algorithm based maximum power point tracking of power-voltage system under partial shading condition[J].Control Theory & Applications,2019,36(3):339-352.(in Chinese)
[10] Mohammed H Qais,Hany M Hasanien,Saad Alghuwainem.Enhanced salp swarm algorithm:Application to variable speed wind generators[J].Engineering Applications of Artificial Intelligence,2018,80:82-96.
[11] Ibrahim Aljarah,Majdi Mafarja,Ali Asghar Heidari,et al.Asynchroous accelerating multi-leader salp chains for feature selection[J].Applied Soft Computing,2018,71:964-979.
[12] 王光义,袁方.级联混沌及其动力学特性研究[J].物理学报,2013,62(2):020506. Wang Guang-Yi,Yuan Fang.Cascade chaos and its dynamic characteristics[J].Acta Physica Sinica,2013,62(2):020506.(in Chinese)
[13] Tu Q,Chen X,Liu X.Multi-strategy ensemble grey wolf optimizer and its application to feature selection[J].Applied Soft Computing,2019,76:16-30.
[14] Liang J J,Qu B Y,Suganthan P N.Problem definitions and evaluation criteria for the CEC 2014 special session and competition on single objective real-parameter numerical optimization[R].Zhengzhou:Zhengzhou University,2013.
[15] 张达敏,陈忠云,辛梓芸,等. 基于疯狂自适应的樽海鞘群算法[J].控制与决策,2020,35(9):2112-2120. ZHANG Da-min,CHEN Zhong-yun,XIN Zi-yun,et al.Salp swarm algorithm based on craziness and adaptive[J].Control and Decision,2020,35(9):2112-2120.(in Chinese)
[16] Mirjalili S,Mirjalili S M,Lewis A.Grey wolf optimizer[J].Advances in Engineering Software,2014,69:46-61.
[17] Gandomi A H,Alavi A H.Krill herd:A new bio-inspired optimization algorithm[J].Communications in Nonlinear Science and Numerical Simulation,2012,17(12):4831-4845.
[18] Mirjalili S,Abdolreza H.Multi-verse optimizer:A nature-inspired algorithm for global optimization[J].Neural Computing and Applications,2016,27(2):495-513.
[19] Heidari A A,Mirjalili S,Faris H,et al.Harris hawks optimization:Algorithm and applications[J].Future Generation Computer Systems,2019,97:849-872.
[20] Zhang Q,Chen D,Chen T.An obstacle avoidance method of soccer robot based on evolutionary artificial potential field[J].Energy Procedia,2012,16:1792-1798.
[21] Liu Yuanchang,Bucknall Richard.The angle guidance path planning algorithms for unmanned surface vehicle formations by using the fast marching method[J].Applied Ocean Research,2016,59:327-344. |