On Hierarchical Multi-UAV Dubins Traveling Salesman Problem Paths in a Complex Obstacle Environment

This article aims to solve a hierarchical multi-UAV Dubins traveling salesman problem (HMDTSP). Optimal hierarchical coverage and multi-UAV collaboration are achieved by the proposed approaches in a 3-D complex obstacle environment. A multi-UAV multilayer projection clustering (MMPC) algorithm is pr...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on cybernetics 2024-01, Vol.54 (1), p.123-135
Hauptverfasser: Fu, Jinyu, Sun, Guanghui, Liu, Jianxing, Yao, Weiran, Wu, Ligang
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 135
container_issue 1
container_start_page 123
container_title IEEE transactions on cybernetics
container_volume 54
creator Fu, Jinyu
Sun, Guanghui
Liu, Jianxing
Yao, Weiran
Wu, Ligang
description This article aims to solve a hierarchical multi-UAV Dubins traveling salesman problem (HMDTSP). Optimal hierarchical coverage and multi-UAV collaboration are achieved by the proposed approaches in a 3-D complex obstacle environment. A multi-UAV multilayer projection clustering (MMPC) algorithm is presented to reduce the cumulative distance from multilayer targets to corresponding cluster centers. A straight-line flight judgment (SFJ) was developed to reduce the calculation of obstacle avoidance. An improved adaptive window probabilistic roadmap (AWPRM) algorithm is addressed to plan obstacle-avoidance paths. The AWPRM improves the feasibility of finding the optimal sequence based on the proposed SFJ compared with a traditional probabilistic roadmap. To solve the solution to TSP with obstacles constraints, the proposed sequencing-bundling-bridging (SBB) framework combines the bundling ant colony system (BACS) and homotopic AWPRM. An obstacle-avoidance optimal curved path is constructed with a turning radius constraint based on the Dubins method and followed up by solving the TSP sequence. The results of simulation experiments indicated that the proposed strategies can provide a set of feasible solutions for HMDTSPs in a complex obstacle environment.
doi_str_mv 10.1109/TCYB.2023.3265926
format Article
fullrecord <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_proquest_miscellaneous_2806458221</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>10109200</ieee_id><sourcerecordid>2806458221</sourcerecordid><originalsourceid>FETCH-LOGICAL-c416t-9b31a4ba1337dd8c1806bfae3c20205f830b3610c843f5996a3dd980ef71696a3</originalsourceid><addsrcrecordid>eNpdkV1LHDEUhkOpqNj9AUKRQG-8mW0-ZjLJpa62FpRdcC30KmQyZ2okk1mTGbH_vll2K8Xc5IPnPOScF6FTSuaUEvV1vfh1OWeE8TlnolJMfEDHjApZMFZXH9_Ooj5Cs5SeSF4yPyl5iI54TZQqhTxGdhnwjYNoon101nh8N_nRFQ8XP_HV1LiQ8DqaF_Au_Mb3xkPqTcCrODQeerwy42PCLmCDF0O_8fCKl00ajfWAr8OLi0PoIYyf0EFnfILZfj9BD9-u14ub4nb5_cfi4rawJRVjoRpOTdkYynndttJSSUTTGeA2d0mqTnLScEGJlSXvKqWE4W2rJIGupmJ7O0HnO-8mDs8TpFH3Llnw3gQYpqRZFpaVZIxm9Ms79GmYYsi_00yRUpCK1SpTdEfZOKQUodOb6HoT_2hK9DYEvQ1Bb0PQ-xByzdnePDU9tG8V_0aegc87wAHAf8KsY4Twv7HBiWY</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2904605279</pqid></control><display><type>article</type><title>On Hierarchical Multi-UAV Dubins Traveling Salesman Problem Paths in a Complex Obstacle Environment</title><source>IEEE Electronic Library (IEL)</source><creator>Fu, Jinyu ; Sun, Guanghui ; Liu, Jianxing ; Yao, Weiran ; Wu, Ligang</creator><creatorcontrib>Fu, Jinyu ; Sun, Guanghui ; Liu, Jianxing ; Yao, Weiran ; Wu, Ligang</creatorcontrib><description>This article aims to solve a hierarchical multi-UAV Dubins traveling salesman problem (HMDTSP). Optimal hierarchical coverage and multi-UAV collaboration are achieved by the proposed approaches in a 3-D complex obstacle environment. A multi-UAV multilayer projection clustering (MMPC) algorithm is presented to reduce the cumulative distance from multilayer targets to corresponding cluster centers. A straight-line flight judgment (SFJ) was developed to reduce the calculation of obstacle avoidance. An improved adaptive window probabilistic roadmap (AWPRM) algorithm is addressed to plan obstacle-avoidance paths. The AWPRM improves the feasibility of finding the optimal sequence based on the proposed SFJ compared with a traditional probabilistic roadmap. To solve the solution to TSP with obstacles constraints, the proposed sequencing-bundling-bridging (SBB) framework combines the bundling ant colony system (BACS) and homotopic AWPRM. An obstacle-avoidance optimal curved path is constructed with a turning radius constraint based on the Dubins method and followed up by solving the TSP sequence. The results of simulation experiments indicated that the proposed strategies can provide a set of feasible solutions for HMDTSPs in a complex obstacle environment.</description><identifier>ISSN: 2168-2267</identifier><identifier>EISSN: 2168-2275</identifier><identifier>DOI: 10.1109/TCYB.2023.3265926</identifier><identifier>PMID: 37099468</identifier><identifier>CODEN: ITCEB8</identifier><language>eng</language><publisher>United States: IEEE</publisher><subject>Algorithms ; Ant colony optimization ; Autonomous aerial vehicles ; Bundling ; Bundling ant colony system (BACS) ; Clustering ; Clustering algorithms ; Collision avoidance ; Feasibility ; Heuristic algorithms ; hierarchical multi-UAV Dubins traveling salesman problem (HMDTSP) ; homotopic adaptive window probabilistic roadmap (AWPRM) ; Multilayers ; Nonhomogeneous media ; Obstacle avoidance ; Probabilistic logic ; Sequences ; Traveling salesman problem ; Traveling salesman problems ; Unmanned aerial vehicles ; Vehicle dynamics</subject><ispartof>IEEE transactions on cybernetics, 2024-01, Vol.54 (1), p.123-135</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c416t-9b31a4ba1337dd8c1806bfae3c20205f830b3610c843f5996a3dd980ef71696a3</citedby><cites>FETCH-LOGICAL-c416t-9b31a4ba1337dd8c1806bfae3c20205f830b3610c843f5996a3dd980ef71696a3</cites><orcidid>0000-0003-1623-2220 ; 0000-0002-8160-9680 ; 0000-0002-2201-3887 ; 0000-0002-6570-3888 ; 0000-0001-8198-5267</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/10109200$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/10109200$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37099468$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Fu, Jinyu</creatorcontrib><creatorcontrib>Sun, Guanghui</creatorcontrib><creatorcontrib>Liu, Jianxing</creatorcontrib><creatorcontrib>Yao, Weiran</creatorcontrib><creatorcontrib>Wu, Ligang</creatorcontrib><title>On Hierarchical Multi-UAV Dubins Traveling Salesman Problem Paths in a Complex Obstacle Environment</title><title>IEEE transactions on cybernetics</title><addtitle>TCYB</addtitle><addtitle>IEEE Trans Cybern</addtitle><description>This article aims to solve a hierarchical multi-UAV Dubins traveling salesman problem (HMDTSP). Optimal hierarchical coverage and multi-UAV collaboration are achieved by the proposed approaches in a 3-D complex obstacle environment. A multi-UAV multilayer projection clustering (MMPC) algorithm is presented to reduce the cumulative distance from multilayer targets to corresponding cluster centers. A straight-line flight judgment (SFJ) was developed to reduce the calculation of obstacle avoidance. An improved adaptive window probabilistic roadmap (AWPRM) algorithm is addressed to plan obstacle-avoidance paths. The AWPRM improves the feasibility of finding the optimal sequence based on the proposed SFJ compared with a traditional probabilistic roadmap. To solve the solution to TSP with obstacles constraints, the proposed sequencing-bundling-bridging (SBB) framework combines the bundling ant colony system (BACS) and homotopic AWPRM. An obstacle-avoidance optimal curved path is constructed with a turning radius constraint based on the Dubins method and followed up by solving the TSP sequence. The results of simulation experiments indicated that the proposed strategies can provide a set of feasible solutions for HMDTSPs in a complex obstacle environment.</description><subject>Algorithms</subject><subject>Ant colony optimization</subject><subject>Autonomous aerial vehicles</subject><subject>Bundling</subject><subject>Bundling ant colony system (BACS)</subject><subject>Clustering</subject><subject>Clustering algorithms</subject><subject>Collision avoidance</subject><subject>Feasibility</subject><subject>Heuristic algorithms</subject><subject>hierarchical multi-UAV Dubins traveling salesman problem (HMDTSP)</subject><subject>homotopic adaptive window probabilistic roadmap (AWPRM)</subject><subject>Multilayers</subject><subject>Nonhomogeneous media</subject><subject>Obstacle avoidance</subject><subject>Probabilistic logic</subject><subject>Sequences</subject><subject>Traveling salesman problem</subject><subject>Traveling salesman problems</subject><subject>Unmanned aerial vehicles</subject><subject>Vehicle dynamics</subject><issn>2168-2267</issn><issn>2168-2275</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkV1LHDEUhkOpqNj9AUKRQG-8mW0-ZjLJpa62FpRdcC30KmQyZ2okk1mTGbH_vll2K8Xc5IPnPOScF6FTSuaUEvV1vfh1OWeE8TlnolJMfEDHjApZMFZXH9_Ooj5Cs5SeSF4yPyl5iI54TZQqhTxGdhnwjYNoon101nh8N_nRFQ8XP_HV1LiQ8DqaF_Au_Mb3xkPqTcCrODQeerwy42PCLmCDF0O_8fCKl00ajfWAr8OLi0PoIYyf0EFnfILZfj9BD9-u14ub4nb5_cfi4rawJRVjoRpOTdkYynndttJSSUTTGeA2d0mqTnLScEGJlSXvKqWE4W2rJIGupmJ7O0HnO-8mDs8TpFH3Llnw3gQYpqRZFpaVZIxm9Ms79GmYYsi_00yRUpCK1SpTdEfZOKQUodOb6HoT_2hK9DYEvQ1Bb0PQ-xByzdnePDU9tG8V_0aegc87wAHAf8KsY4Twv7HBiWY</recordid><startdate>202401</startdate><enddate>202401</enddate><creator>Fu, Jinyu</creator><creator>Sun, Guanghui</creator><creator>Liu, Jianxing</creator><creator>Yao, Weiran</creator><creator>Wu, Ligang</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-1623-2220</orcidid><orcidid>https://orcid.org/0000-0002-8160-9680</orcidid><orcidid>https://orcid.org/0000-0002-2201-3887</orcidid><orcidid>https://orcid.org/0000-0002-6570-3888</orcidid><orcidid>https://orcid.org/0000-0001-8198-5267</orcidid></search><sort><creationdate>202401</creationdate><title>On Hierarchical Multi-UAV Dubins Traveling Salesman Problem Paths in a Complex Obstacle Environment</title><author>Fu, Jinyu ; Sun, Guanghui ; Liu, Jianxing ; Yao, Weiran ; Wu, Ligang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c416t-9b31a4ba1337dd8c1806bfae3c20205f830b3610c843f5996a3dd980ef71696a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Algorithms</topic><topic>Ant colony optimization</topic><topic>Autonomous aerial vehicles</topic><topic>Bundling</topic><topic>Bundling ant colony system (BACS)</topic><topic>Clustering</topic><topic>Clustering algorithms</topic><topic>Collision avoidance</topic><topic>Feasibility</topic><topic>Heuristic algorithms</topic><topic>hierarchical multi-UAV Dubins traveling salesman problem (HMDTSP)</topic><topic>homotopic adaptive window probabilistic roadmap (AWPRM)</topic><topic>Multilayers</topic><topic>Nonhomogeneous media</topic><topic>Obstacle avoidance</topic><topic>Probabilistic logic</topic><topic>Sequences</topic><topic>Traveling salesman problem</topic><topic>Traveling salesman problems</topic><topic>Unmanned aerial vehicles</topic><topic>Vehicle dynamics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fu, Jinyu</creatorcontrib><creatorcontrib>Sun, Guanghui</creatorcontrib><creatorcontrib>Liu, Jianxing</creatorcontrib><creatorcontrib>Yao, Weiran</creatorcontrib><creatorcontrib>Wu, Ligang</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology &amp; Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>MEDLINE - Academic</collection><jtitle>IEEE transactions on cybernetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Fu, Jinyu</au><au>Sun, Guanghui</au><au>Liu, Jianxing</au><au>Yao, Weiran</au><au>Wu, Ligang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>On Hierarchical Multi-UAV Dubins Traveling Salesman Problem Paths in a Complex Obstacle Environment</atitle><jtitle>IEEE transactions on cybernetics</jtitle><stitle>TCYB</stitle><addtitle>IEEE Trans Cybern</addtitle><date>2024-01</date><risdate>2024</risdate><volume>54</volume><issue>1</issue><spage>123</spage><epage>135</epage><pages>123-135</pages><issn>2168-2267</issn><eissn>2168-2275</eissn><coden>ITCEB8</coden><abstract>This article aims to solve a hierarchical multi-UAV Dubins traveling salesman problem (HMDTSP). Optimal hierarchical coverage and multi-UAV collaboration are achieved by the proposed approaches in a 3-D complex obstacle environment. A multi-UAV multilayer projection clustering (MMPC) algorithm is presented to reduce the cumulative distance from multilayer targets to corresponding cluster centers. A straight-line flight judgment (SFJ) was developed to reduce the calculation of obstacle avoidance. An improved adaptive window probabilistic roadmap (AWPRM) algorithm is addressed to plan obstacle-avoidance paths. The AWPRM improves the feasibility of finding the optimal sequence based on the proposed SFJ compared with a traditional probabilistic roadmap. To solve the solution to TSP with obstacles constraints, the proposed sequencing-bundling-bridging (SBB) framework combines the bundling ant colony system (BACS) and homotopic AWPRM. An obstacle-avoidance optimal curved path is constructed with a turning radius constraint based on the Dubins method and followed up by solving the TSP sequence. The results of simulation experiments indicated that the proposed strategies can provide a set of feasible solutions for HMDTSPs in a complex obstacle environment.</abstract><cop>United States</cop><pub>IEEE</pub><pmid>37099468</pmid><doi>10.1109/TCYB.2023.3265926</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0003-1623-2220</orcidid><orcidid>https://orcid.org/0000-0002-8160-9680</orcidid><orcidid>https://orcid.org/0000-0002-2201-3887</orcidid><orcidid>https://orcid.org/0000-0002-6570-3888</orcidid><orcidid>https://orcid.org/0000-0001-8198-5267</orcidid></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 2168-2267
ispartof IEEE transactions on cybernetics, 2024-01, Vol.54 (1), p.123-135
issn 2168-2267
2168-2275
language eng
recordid cdi_proquest_miscellaneous_2806458221
source IEEE Electronic Library (IEL)
subjects Algorithms
Ant colony optimization
Autonomous aerial vehicles
Bundling
Bundling ant colony system (BACS)
Clustering
Clustering algorithms
Collision avoidance
Feasibility
Heuristic algorithms
hierarchical multi-UAV Dubins traveling salesman problem (HMDTSP)
homotopic adaptive window probabilistic roadmap (AWPRM)
Multilayers
Nonhomogeneous media
Obstacle avoidance
Probabilistic logic
Sequences
Traveling salesman problem
Traveling salesman problems
Unmanned aerial vehicles
Vehicle dynamics
title On Hierarchical Multi-UAV Dubins Traveling Salesman Problem Paths in a Complex Obstacle Environment
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-21T21%3A27%3A02IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=On%20Hierarchical%20Multi-UAV%20Dubins%20Traveling%20Salesman%20Problem%20Paths%20in%20a%20Complex%20Obstacle%20Environment&rft.jtitle=IEEE%20transactions%20on%20cybernetics&rft.au=Fu,%20Jinyu&rft.date=2024-01&rft.volume=54&rft.issue=1&rft.spage=123&rft.epage=135&rft.pages=123-135&rft.issn=2168-2267&rft.eissn=2168-2275&rft.coden=ITCEB8&rft_id=info:doi/10.1109/TCYB.2023.3265926&rft_dat=%3Cproquest_RIE%3E2806458221%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2904605279&rft_id=info:pmid/37099468&rft_ieee_id=10109200&rfr_iscdi=true