An adaptive distributed auction algorithm and its application to multi-AUV task assignment

作     者：WANG Yu LI HuiPing YAO Yao WANG Yu;LI HuiPing;YAO Yao

作者机构：School of Marine Science and TechnologyNorthwestern Polytechnical UniversityXi’an 710072China Jiangsu Automation Research InstituteLianyungang 222061China 

出 版 物：《Science China(Technological Sciences)》 (中国科学（技术科学英文版）)

年 卷 期：2023年第66卷第5期

页      面：1235-1244页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 081102[工学-检测技术与自动化装置] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the National Natural Science Foundation of China(Grant Nos.62273281 U22B2039 and 61922068) 

主　　题：task assignment multi-agent systems consensus-based adaptive optimization auction intelligent algorithm multiple AUVs 

摘      要：The task assignment of multi-agent system has attracted considerable attention;however,the contradiction between computational complexity and assigning performance remains to be *** this paper,a novel consensus-based adaptive optimization auction(CAOA)algorithm is proposed to greatly reduce the computation load while attaining enhanced system payoff.A new optimization scheme is designed to optimize the critical control parameter in the price update role of auction algorithm which can reduce the searching complexity in obtaining a better bidding *** this new scheme,the CAOA algorithm is *** the developed algorithm is applied to the multi-AUV task assignment problem for underwater detection mission in complex *** simulation and comparison studies verify the effectiveness and advantage of the CAOA algorithm.