{"id":"https://openalex.org/W1990163097","doi":"https://doi.org/10.1109/cec.2014.6900511","title":"Evolutionary path planning of a data mule in wireless sensor network by using shortcuts","display_name":"Evolutionary path planning of a data mule in wireless sensor network by using shortcuts","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W1990163097","doi":"https://doi.org/10.1109/cec.2014.6900511","mag":"1990163097"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2014.6900511","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2014.6900511","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Congress on Evolutionary Computation (CEC)","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/A5041410801","display_name":"Shao-You Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098366","display_name":"Institute of Information Science, Academia Sinica","ror":"https://ror.org/00z83z196","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210098366","https://openalex.org/I84653119"]},{"id":"https://openalex.org/I84653119","display_name":"Academia Sinica","ror":"https://ror.org/05bxb3784","country_code":"TW","type":"facility","lineage":["https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shao-You Wu","raw_affiliation_strings":["Institute of Information Science, Taipei, Taiwan, ROC","Institute of Information Science, Academia Sinica, Nangang, Taipei, Taiwan 115, ROC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Taipei, Taiwan, ROC","institution_ids":["https://openalex.org/I4210098366"]},{"raw_affiliation_string":"Institute of Information Science, Academia Sinica, Nangang, Taipei, Taiwan 115, ROC","institution_ids":["https://openalex.org/I84653119"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034523100","display_name":"Jing\u2010Sin Liu","orcid":"https://orcid.org/0000-0002-4935-8965"},"institutions":[{"id":"https://openalex.org/I4210098366","display_name":"Institute of Information Science, Academia Sinica","ror":"https://ror.org/00z83z196","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210098366","https://openalex.org/I84653119"]},{"id":"https://openalex.org/I84653119","display_name":"Academia Sinica","ror":"https://ror.org/05bxb3784","country_code":"TW","type":"facility","lineage":["https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jing-Sin Liu","raw_affiliation_strings":["Institute of Information Science, Taipei, Taiwan, ROC","Institute of Information Science, Academia Sinica, Nangang, Taipei, Taiwan 115, ROC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Taipei, Taiwan, ROC","institution_ids":["https://openalex.org/I4210098366"]},{"raw_affiliation_string":"Institute of Information Science, Academia Sinica, Nangang, Taipei, Taiwan 115, ROC","institution_ids":["https://openalex.org/I84653119"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7198,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.7412395,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2708","last_page":"2715"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9995999932289124,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9968000054359436,"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/T12784","display_name":"Modular Robots and Swarm Intelligence","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/travelling-salesman-problem","display_name":"Travelling salesman problem","score":0.8372452259063721},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6826053261756897},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.6615384221076965},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6553842425346375},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.6252180337905884},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5321069955825806},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5293843150138855},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.44371718168258667},{"id":"https://openalex.org/keywords/degree","display_name":"Degree (music)","score":0.4219409227371216},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3684946894645691},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3580879867076874},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33603376150131226},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21956360340118408},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2128647267818451},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20186883211135864},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1772986352443695},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10465466976165771}],"concepts":[{"id":"https://openalex.org/C175859090","wikidata":"https://www.wikidata.org/wiki/Q322212","display_name":"Travelling salesman problem","level":2,"score":0.8372452259063721},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6826053261756897},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.6615384221076965},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6553842425346375},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.6252180337905884},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5321069955825806},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5293843150138855},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.44371718168258667},{"id":"https://openalex.org/C2775997480","wikidata":"https://www.wikidata.org/wiki/Q586277","display_name":"Degree (music)","level":2,"score":0.4219409227371216},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3684946894645691},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3580879867076874},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33603376150131226},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21956360340118408},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2128647267818451},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20186883211135864},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1772986352443695},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10465466976165771},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2014.6900511","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2014.6900511","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W99032621","https://openalex.org/W608249883","https://openalex.org/W1497256448","https://openalex.org/W1979257617","https://openalex.org/W2013484971","https://openalex.org/W2038783735","https://openalex.org/W2052973567","https://openalex.org/W2106378689","https://openalex.org/W2110824994","https://openalex.org/W2137478272","https://openalex.org/W2141708863","https://openalex.org/W2148058005","https://openalex.org/W2183121821","https://openalex.org/W2267334966","https://openalex.org/W2545811506","https://openalex.org/W3023169168","https://openalex.org/W4235391823","https://openalex.org/W6604038483","https://openalex.org/W6664110846","https://openalex.org/W6681687235"],"related_works":["https://openalex.org/W1525389557","https://openalex.org/W2361554335","https://openalex.org/W2359992618","https://openalex.org/W2054495636","https://openalex.org/W4306878646","https://openalex.org/W2164188042","https://openalex.org/W3005108979","https://openalex.org/W2913191894","https://openalex.org/W3157689847","https://openalex.org/W4389782626"],"abstract_inverted_index":{"Data":[0,146],"collection":[1],"problem":[2],"of":[3,50,52,55,65,68,145],"generating":[4],"a":[5,8,26,34,72,110],"path":[6],"for":[7,81],"data":[9,18,117],"mule":[10,118],"(single":[11],"or":[12],"multiple":[13],"mobile":[14],"robots)":[15],"to":[16,41,130],"collect":[17],"from":[19],"wireless":[20],"sensor":[21],"network":[22],"(WSN)":[23],"is":[24,48,113],"usually":[25],"NP-hard":[27],"problem.":[28],"Thus,":[29],"we":[30,70],"formulate":[31],"it":[32],"as":[33],"Traveling":[35],"Salesman":[36],"Problem":[37],"with":[38,77],"Neighborhoods":[39],"(TSPN)":[40],"obtain":[42],"the":[43,53,66,105,116,132],"possibly":[44],"short":[45],"path.":[46],"TSPN":[47,106,133],"composed":[49],"determinations":[51],"order":[54],"visiting":[56],"sites":[57],"and":[58,100,115,151],"their":[59],"precise":[60],"locations.":[61],"By":[62,108],"taking":[63],"advantage":[64],"overlap":[67],"neighborhoods,":[69],"proposed":[71],"clustering-based":[73],"genetic":[74],"algorithm":[75],"(CBGA)":[76],"an":[78],"innovative":[79],"way":[80],"initial":[82],"population":[83],"generation,":[84],"called":[85],"Balanced":[86],"Standard":[87],"Deviation":[88],"Algorithm":[89,98],"(BSDA).":[90],"Then,":[91],"effective":[92],"shortcut":[93],"schemes":[94],"named":[95],"Look-Ahead":[96],"Locating":[97],"(LLA)":[99],"Advanced-LLA":[101],"are":[102,128],"applied":[103],"on":[104],"route.":[107],"LLA,":[109],"smoother":[111],"route":[112,134],"generated":[114],"can":[119],"move":[120],"while":[121],"ignoring":[122],"about":[123],"39%":[124],"clusters.":[125],"Extensive":[126],"simulations":[127],"performed":[129],"evaluate":[131],"in":[135],"some":[136],"aspects":[137],"like":[138],"LLA":[139,141],"hits,":[140],"improvement,":[142],"Rotation":[143],"Degree":[144],"Mule":[147],"(RDDM),":[148],"Max":[149],"Step":[150],"Ruggedness.":[152]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
