[1]吴虎胜,肖人彬.群智能新研究:角色?匹配的狼群劳动分工[J].智能系统学报,2021,16(1):125-133.[doi:10.11992/tis.202007043]
 WU Husheng,XIAO Renbin.A new approach to swarm intelligence: role-matching labor division of a wolf pack[J].CAAI Transactions on Intelligent Systems,2021,16(1):125-133.[doi:10.11992/tis.202007043]
点击复制

群智能新研究:角色?匹配的狼群劳动分工

参考文献/References:
[1] ROBINSON G E. Regulation of division of labor in insect societies[J]. Annual review of entomology, 1992, 37(1):637-665.
[2] XIAO Renbin, WANG Yingcong. Labour division in swarm intelligence for allocation problems:a survey[J]. International journal of bio-inspired computation, 2018, 12(2):71-86.
[3] 肖人彬, 王英聪. 群智能自组织劳动分工研究进展[J]. 信息与控制, 2019, 48(2):129-139, 148
XIAO Renbin, WANG Yingcong. Research progress of self-organized labor division in swarm intelligence[J]. Information and control, 2019, 48(2):129-139, 148
[4] PARPINELLI R S, LOPES H S. New inspirations in swarm intelligence:a survey[J]. International journal of bio-inspired computation, 2011, 3(1):1-16.
[5] BESHERS S N, FEWELL J H. Models of division of labor in social insects[J]. Annual review of entomology, 2001, 46(1):413-440.
[6] 王伟嘉, 郑雅婷, 林国政, 等. 集群机器人研究综述[J]. 机器人, 2020, 42(2):232-256
WANG Weijia, ZHENG Yating, LING Guozheng, et al. Swarm robotics:a review[J]. Robot, 2020, 42(2):232-256
[7] TAN Ying, ZHENG Zhongyang. Research advance in swarm robotics[J]. Defence technology, 2013, 9(1):18-39.
[8] KORSAH G A, STENTZ A, DIAS M B. A comprehensive taxonomy for multi-robot task allocation[J]. The international journal of robotics research, 2013, 32(12):1495-1512.
[9] KHAMIS A, HUSSEIN A, ELMOGY A. Multi-robot task allocation:a review of the state-of-the-art[M]. KOUB?A A, MARTíNEZ-DE DIOS J. Cooperative Robots and Sensor Networks 2015. Studies in Computational Intelligence. Cham, Germany:Springer, 2015.
[10] LIU Chun, KROLL A. Performance impact of mutation operators of a subpopulation-based genetic algorithm for multi-robot task allocation problems[J]. SpringerPlu, 2016, 5(1):1361.
[11] GERKEY B P, MATARI? M J. A formal analysis and taxonomy of task allocation in multi-robot systems[J]. The international journal of robotics research, 2004, 23(9):939-954.
[12] WANG Jianping, GU Yuesheng, LI Xiaomin. Multi-robot task allocation based on ant colony algorithm[J]. Journal of computers, 2012, 7(9):2160-2167.
[13] LI Hao, XIAO Renbin, WU Husheng. Modelling for combat task allocation problem of aerial swarm and its solution using wolf pack algorithm[J]. International journal of innovative computing and applications, 2016, 7(1):50-59.
[14] BENI G. From swarm intelligence to swarm robotics[M]. SAHIN E, SPEARS W M. Swarm Robotics. Berlin, Heidelberg:Springer, 2004:1-9.
[15] MECH D L. Alpha status, dominance, and division of labor in wolf packs[J]. Canadian journal of zoology, 1999, 77(8):1196-1203.
[16] 吴虎胜, 张凤鸣, 吴庐山. 一种新的群体智能算法-狼群算法[J]. 系统工程与电子技术, 2013, 35(11):2430-2438
WU Husheng, ZHANG Fengming, WU Lushan. A new swarm intelligence algorithm-wolf pack algorithm[J]. Systems engineering and electronics, 2013, 35(11):2430-2438
[17] MIRJALILI S, MIRJALILI S M, LEWIS A. Grey wolf optimizer[J]. Advances in engineering software, 2014, 69:46-61.
[18] PIEREZAN J, COELHO L D S. Coyote optimization algorithm:a new metaheuristic for global optimization problems[C]//Proceedings of 2018 IEEE Congress on Evolutionary Computation (CEC). Rio de Janeiro, Brazil:IEEE, 2018.
[19] WU Husheng, XIAO Renbin. Flexible wolf pack algorithm for dynamic multidimensional knapsack problems[J]. Research, 2020, 2020:1762107.
[20] MADDEN J D, ARKIN R C, MACNULTY D R. Multi-robot system based on model of wolf hunting behavior to emulate wolf and elk interactions[C]//Proceedings of 2010 IEEE International Conference on Robotics and Biomimetics. Tianjin, China:IEEE, 2010.
[21] MARTíN J, BARJA I, LóPEZ P. Chemical scent constituents in feces of wild Iberian wolves (Canis lupus signatus)[J]. Biochemical systematics and ecology, 2010, 38(6):1096-1102.
[22] NOWAK S, J?DRZEJEWSKI W, SCHMIDT K, et al. Howling activity of free-ranging wolves (Canis lupus) in the Bia?owie?a primeval forest and the western Beskidy Mountains (Poland)[J]. Journal of ethology, 2007, 25(3):231-237.
[23] HEBERLEIN M T E, TURNER D C, RANGE F, et al. A comparison between wolves, Canis lupus, and dogs, Canis familiaris, in showing behaviour towards humans[J]. Animal behaviour, 2016, 122:59-66.
[24] WHITE K A J, LEWIS M A, MURRAY J D. A model for wolf-pack territory formation and maintenance[J]. Journal of theoretical biology, 1996, 178(1):29-43.
[25] WU Husheng, ZHANG Fengming. A uncultivated wolf pack algorithm for high-dimensional functions and its application in parameters optimization of PID controller[C]//Proceedings of the 2014 IEEE Congress on Evolutionary Computation. Beijing, China:IEEE, 2014:1477-1482.
[26] BONABEAU E, THERAULAZ G, DENEUBOURG J L. Quantitative study of the fixed threshold model for the regulation of division of labour in insect societies[J]. Proceedings of the royal society of London. series B:biological sciences, 1996, 263(1376):1565-1569.
[27] BESHERS S N, HUANG Z Y, OONO Y, et al. Social inhibition and the regulation of temporal polyethism in honey bees[J]. Journal of theoretical biology, 2001, 213(3):461-479.
[28] DUARTE A, PEN I, KELLER L, et al. Evolution of self-organized division of labor in a response threshold model[J]. Behavioral ecology and sociobiology, 2012, 66(6):947-957.
[29] 胡亮. 基于激发抑制的群智能劳动分工方法求解动态分配问题[D]. 武汉:华中科技大学, 2019.
HU Liang. Solving dynamic allocation problems by activator-inhibitor based labor division approach in swarm intelligence[D]. Wuhan:Huazhong University of Science and Technology, 2019.
[30] WU Husheng, LI Hao, XIAO Renbin, et al. Modeling and simulation of dynamic ant colony’s labor division for task allocation of UAV swarm[J]. Physica A:statistical mechanics and its applications, 2018, 491:127-141.
[31] 肖人彬, 王英聪. 一种面向时间分配问题的群智能劳动分工新方法[J]. 智能系统学报, 2019, 14(3):438-448
XIAO Renbin, WANG Yingcong. A new approach to labor division in swarm intelligence for time allocation problem[J]. CAAI transactions on intelligent systems, 2019, 14(3):438-448
[32] WANG Yingcong, XIAO Renbin, WANG Huimin. A flexible labour division approach to the polygon packing problem based on space allocation[J]. International journal of production research, 2017, 55(11):3025-3045.
[33] 曹勇, 肖人彬. 蜂群激发抑制与刺激响应相结合的群机器人区域覆盖算法[J]. 复杂系统与复杂性科学, 2019, 16(4):1-12
CAO Yong, XIAO Renbin. Swarm robot region coverage algorithm combined with bee colony activator inhibition with stimulus response[J]. Complex systems and complexity science, 2019, 16(4):1-12
相似文献/References:
[1]莫宏伟.自然计算研究进展[J].智能系统学报,2011,6(6):544.
 MO Hongwei.Research advance on natural computing[J].CAAI Transactions on Intelligent Systems,2011,6(1):544.
[2]李素,袁志高,王聪,等.群智能算法优化支持向量机参数综述[J].智能系统学报,2018,13(1):70.[doi:10.11992/tis.201707011]
 LI Su,YUAN Zhigao,WANG Cong,et al.Optimization of support vector machine parameters based on group intelligence algorithm[J].CAAI Transactions on Intelligent Systems,2018,13(1):70.[doi:10.11992/tis.201707011]
[3]肖人彬,王英聪.一种面向时间分配问题的群智能劳动分工新方法[J].智能系统学报,2019,14(3):438.[doi:10.11992/tis.201807014]
 XIAO Renbin,WANG Yingcong.A new approach to labor division in swarm intelligence for time allocation problem[J].CAAI Transactions on Intelligent Systems,2019,14(1):438.[doi:10.11992/tis.201807014]

备注/Memo

收稿日期:2020-07-24。
基金项目:科技创新 2030—“新一代人工智能”重大项目 (2018AAA0101200);国家自然科学基金项目(61502534);国家社科基金军事学项目(2019-SKJJ-C-092);陕西省自然科学基金项目(2020JQ-493);武警工程大学基础理论研究基金项目(WJY201922)
作者简介:吴虎胜,副教授,主要研究方向为群智能、无人系统及其作战运用、军事装备论证。主持国家自然科学基金、军内装备科研等省部级以上项目10余项。发表学术论文 30 余篇;肖人彬,教授,博士生导师,主要研究方向为群智能、涌现计算、复杂系统建模与仿真。主持国家级项目多项,获得教育部、湖北省自然科学奖和科技进步奖 5 项。发表学术论文 200余篇,入选 Elsevier “中国高被引学者”榜单
通讯作者:肖人彬. E-mail:rbxiao@hust.edu.cn

更新日期/Last Update: 2021-02-25
Copyright @ 《 智能系统学报》 编辑部
地址:(150001)黑龙江省哈尔滨市南岗区南通大街145-1号楼 电话:0451- 82534001、82518134