[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]
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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]
群智能新研究：角色?匹配的狼群劳动分工
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
16
期数:
2021年第1期
页码:
125-133
栏目:
学术论文—人工智能基础
出版日期:
2021-01-05
- Title:
- A new approach to swarm intelligence: role-matching labor division of a wolf pack
- Keywords:
- swarm intelligence; wolf pack; labor division; task allocation; self-organization; role-matching; activation-inhibition; stimulus-response
- 分类号:
- TP242
- 摘要:
- 启发于生物狼群群体的劳动分工行为，本文提出一种新颖的角色?匹配狼群劳动分工方法。通过剖析自然狼群的生物学行为，概括提炼出狼群劳动分工行为的个体任务的专职化、个体角色可塑性和任务分配均衡性3个典型特征，并建立了生物狼群劳动分工行为与普适性任务分配问题之间的仿生映射关系；从狼群“个体?个体”+“个体?环境”的交互方式角度出发，分析了角色?匹配的狼群劳动分工的个体角色转换和任务调整机制，研究了狼群角色?匹配的柔性劳动分工机制，提出了一种新的群智能方法，即角色?匹配的狼群劳动分工方法；将狼群的角色?匹配劳动分工与蚁群的刺激?响应劳动分工和蜂群的激发?抑制劳动分工进行了比较分析，并展示出角色?匹配狼群劳动分工方法的应用前景。
- Abstract:
- A novel role-matching labor division method is proposed, inspired by the labor division behavior of a biological wolf pack. First, through in-depth analysis of the biological behavior of natural wolves, the three typical characteristics of the labor division behavior of a wolf pack, i.e., the specialization of individual tasks, the plasticity of individual roles, and the balance of task allocation, are summarized and analyzed in this paper. The bionic mapping relationship between the labor division behavior of a biological wolf pack and the universal task allocation is established. Second, from the perspective of the interactive mode of “individual-individual” plus “individual-environment,” the individual role transformation and task adjustment mechanism of the role-matching labor division of a wolf pack are analyzed deeply in this paper. The flexible role-matching labor division mechanism of a wolf pack is studied, and a new swarm intelligence method is proposed, i.e., the wolf pack role-matching labor division method. Finally, the wolf pack role-matching labor division model, ant colony stimulus-response labor division model, and bee colony activation-inhibition labor division model are compared and analyzed, the proposed method has extensive application prospects in many fields.
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MO Hongwei.Research advance on natural computing[J].CAAI Transactions on Intelligent Systems,2011,6():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]
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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