{"id":"https://openalex.org/W2965101131","doi":"https://doi.org/10.1109/wocc.2019.8770642","title":"Virtual Force-Decorated Genetic Algorithm to Optimize Base Station Locations","display_name":"Virtual Force-Decorated Genetic Algorithm to Optimize Base Station Locations","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2965101131","doi":"https://doi.org/10.1109/wocc.2019.8770642","mag":"2965101131"},"language":"en","primary_location":{"id":"doi:10.1109/wocc.2019.8770642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wocc.2019.8770642","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 28th Wireless and Optical Communications Conference (WOCC)","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/A5101564864","display_name":"Huan Wang","orcid":"https://orcid.org/0000-0002-1845-0179"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huan Wang","raw_affiliation_strings":["Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010340533","display_name":"Wei Huangfu","orcid":"https://orcid.org/0000-0003-2887-8395"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Huangfu","raw_affiliation_strings":["Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041465270","display_name":"Yunhui Qin","orcid":"https://orcid.org/0000-0002-6655-9849"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunhui Qin","raw_affiliation_strings":["Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029384171","display_name":"Keping Long","orcid":"https://orcid.org/0000-0001-6678-6075"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keping Long","raw_affiliation_strings":["Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1211,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.46191691,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9915000200271606,"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/T10986","display_name":"RFID technology advancements","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.6689136028289795},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.6134274005889893},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.612378716468811},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.429778516292572},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40415075421333313},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1207384467124939},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11821210384368896},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10659611225128174}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6689136028289795},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.6134274005889893},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.612378716468811},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.429778516292572},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40415075421333313},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1207384467124939},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11821210384368896},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10659611225128174},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wocc.2019.8770642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wocc.2019.8770642","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 28th Wireless and Optical Communications Conference (WOCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2086519375","https://openalex.org/W2105847861","https://openalex.org/W2249014939","https://openalex.org/W2264745996","https://openalex.org/W2347186114","https://openalex.org/W2518612440","https://openalex.org/W2775322543","https://openalex.org/W2786153044","https://openalex.org/W2802658840","https://openalex.org/W2859221364","https://openalex.org/W2906690526","https://openalex.org/W2963009963","https://openalex.org/W6671938047","https://openalex.org/W6693181943"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","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/W2081046502"],"abstract_inverted_index":{"The":[0,34],"base":[1],"station":[2],"location":[3],"optimization":[4],"is":[5,32],"one":[6],"of":[7,29],"the":[8,21,39,48,53,67],"most":[9],"important":[10],"issues":[11],"in":[12],"cellular":[13,30],"networks.":[14],"A":[15],"novel":[16],"genetic":[17,69],"algorithm":[18,55],"combined":[19],"with":[20],"virtual":[22,35],"force":[23,36],"decoration":[24,37],"to":[25],"improve":[26],"coverage":[27,60],"performance":[28],"networks":[31],"proposed.":[33],"modifies":[38],"individuals":[40],"and":[41],"provides":[42],"a":[43],"better":[44],"direction":[45],"guide":[46],"for":[47],"gene":[49],"mutation.":[50],"Experiences":[51],"prove":[52],"proposed":[54],"not":[56],"only":[57],"obtains":[58],"higher":[59],"rate":[61],"but":[62],"also":[63],"converges":[64],"faster":[65],"than":[66],"standard":[68],"algorithms.":[70]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}