{"id":"https://openalex.org/W2787376691","doi":"https://doi.org/10.1109/ssci.2017.8285178","title":"Energy-saving decision making for aerial swarms: PSO-based navigation in vector fields","display_name":"Energy-saving decision making for aerial swarms: PSO-based navigation in vector fields","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2787376691","doi":"https://doi.org/10.1109/ssci.2017.8285178","mag":"2787376691"},"language":"en","primary_location":{"id":"doi:10.1109/ssci.2017.8285178","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci.2017.8285178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004325166","display_name":"Palina Bartashevich","orcid":"https://orcid.org/0000-0002-5908-8196"},"institutions":[{"id":"https://openalex.org/I4210138551","display_name":"University Hospital Magdeburg","ror":"https://ror.org/03m04df46","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I4210138551"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Palina Bartashevich","raw_affiliation_strings":["Faculty of Computer Science, University of Magdeburg, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, University of Magdeburg, Germany","institution_ids":["https://openalex.org/I4210138551"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060004916","display_name":"Doreen Koerte","orcid":null},"institutions":[{"id":"https://openalex.org/I4210138551","display_name":"University Hospital Magdeburg","ror":"https://ror.org/03m04df46","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I4210138551"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Doreen Koerte","raw_affiliation_strings":["Faculty of Computer Science, University of Magdeburg, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, University of Magdeburg, Germany","institution_ids":["https://openalex.org/I4210138551"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064569017","display_name":"Sanaz Mostaghim","orcid":"https://orcid.org/0000-0002-9917-5227"},"institutions":[{"id":"https://openalex.org/I4210138551","display_name":"University Hospital Magdeburg","ror":"https://ror.org/03m04df46","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I4210138551"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sanaz Mostaghim","raw_affiliation_strings":["Faculty of Computer Science, University of Magdeburg, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, University of Magdeburg, Germany","institution_ids":["https://openalex.org/I4210138551"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5004325166"],"corresponding_institution_ids":["https://openalex.org/I4210138551"],"apc_list":null,"apc_paid":null,"fwci":0.5461,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.76908489,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11489","display_name":"Air Traffic Management and Optimization","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5422874093055725},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.44612210988998413},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.44410350918769836},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34533077478408813},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.16578003764152527},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14382031559944153}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5422874093055725},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.44612210988998413},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.44410350918769836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34533077478408813},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.16578003764152527},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14382031559944153},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssci.2017.8285178","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci.2017.8285178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.9100000262260437}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1561867011","https://openalex.org/W1820629902","https://openalex.org/W1969161726","https://openalex.org/W1980432290","https://openalex.org/W1990193153","https://openalex.org/W1991221930","https://openalex.org/W2078761659","https://openalex.org/W2121824037","https://openalex.org/W2132145840","https://openalex.org/W2139452595","https://openalex.org/W2155368653","https://openalex.org/W2158246215","https://openalex.org/W2160958384","https://openalex.org/W2163075224","https://openalex.org/W2169745460","https://openalex.org/W2171548105","https://openalex.org/W2180995097","https://openalex.org/W2323637477","https://openalex.org/W2416852083","https://openalex.org/W2510328245","https://openalex.org/W2588734195","https://openalex.org/W2604185556","https://openalex.org/W2732934648","https://openalex.org/W6683436216","https://openalex.org/W6684902844","https://openalex.org/W6736325001"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"the":[3,33,41,50,67,73,81,108],"Navigation":[4],"Wind":[5],"PSO":[6],"(NW-PSO)":[7],"as":[8,27,60,63,98,100],"a":[9,93],"search":[10,102],"mechanism":[11],"for":[12],"aerial":[13],"micro-robots":[14],"with":[15,22,52,104],"limited":[16],"battery":[17],"capacity":[18],"acting":[19],"in":[20,56],"environments":[21],"unknown":[23],"external":[24],"dynamics":[25],"(such":[26],"wind).":[28],"The":[29,86],"proposed":[30],"method":[31],"uses":[32],"concepts":[34],"of":[35,66,83,96,107],"multi-criteria":[36],"decision":[37],"making":[38],"and":[39,118],"let":[40],"individuals":[42],"to":[43,58,70],"decide":[44],"on":[45,77],"their":[46],"movements":[47],"almost":[48,112],"following":[49],"flow":[51],"small":[53],"course":[54],"deviations":[55],"order":[57],"save":[59,92],"much":[61],"energy":[62,97],"possible.":[64],"One":[65],"goals":[68],"is":[69],"investigate":[71],"how":[72],"arising":[74],"premature":[75],"energy-loss":[76],"individual":[78],"level":[79],"affects":[80],"performance":[82],"collective":[84],"search.":[85],"experiments":[87],"show":[88],"that":[89],"NW-PSO":[90],"can":[91],"good":[94,105],"amount":[95],"well":[99],"perform":[101],"behavior":[103],"approximation":[106],"global":[109],"optimal":[110],"solution":[111],"without":[113],"awareness":[114],"regarding":[115],"disturbance":[116],"factors":[117],"particle":[119],"loss.":[120]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
