{"id":"https://openalex.org/W3012183115","doi":"https://doi.org/10.1109/apsipaasc47483.2019.9023211","title":"Optimising Search Operations with Swarm Intelligence","display_name":"Optimising Search Operations with Swarm Intelligence","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3012183115","doi":"https://doi.org/10.1109/apsipaasc47483.2019.9023211","mag":"3012183115"},"language":"en","primary_location":{"id":"doi:10.1109/apsipaasc47483.2019.9023211","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc47483.2019.9023211","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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/A5022985894","display_name":"Ng Chung Hou","orcid":null},"institutions":[{"id":"https://openalex.org/I11662577","display_name":"Monash University Malaysia","ror":"https://ror.org/00yncr324","country_code":"MY","type":"education","lineage":["https://openalex.org/I11662577"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Ng Chung Hou","raw_affiliation_strings":["Monash University Malaysia, Selangor, Malaysia"],"affiliations":[{"raw_affiliation_string":"Monash University Malaysia, Selangor, Malaysia","institution_ids":["https://openalex.org/I11662577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079090311","display_name":"Wern Han Lim","orcid":"https://orcid.org/0000-0002-3354-5467"},"institutions":[{"id":"https://openalex.org/I11662577","display_name":"Monash University Malaysia","ror":"https://ror.org/00yncr324","country_code":"MY","type":"education","lineage":["https://openalex.org/I11662577"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Lim Wern Han","raw_affiliation_strings":["Monash University Malaysia, Selangor, Malaysia"],"affiliations":[{"raw_affiliation_string":"Monash University Malaysia, Selangor, Malaysia","institution_ids":["https://openalex.org/I11662577"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046137969","display_name":"Mei Kuan Lim","orcid":"https://orcid.org/0000-0001-8834-9933"},"institutions":[{"id":"https://openalex.org/I11662577","display_name":"Monash University Malaysia","ror":"https://ror.org/00yncr324","country_code":"MY","type":"education","lineage":["https://openalex.org/I11662577"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Lim Mei Kuan","raw_affiliation_strings":["Monash University Malaysia, Selangor, Malaysia"],"affiliations":[{"raw_affiliation_string":"Monash University Malaysia, Selangor, Malaysia","institution_ids":["https://openalex.org/I11662577"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5022985894"],"corresponding_institution_ids":["https://openalex.org/I11662577"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1915852,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"41","issue":null,"first_page":"1993","last_page":"1997"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9987999796867371,"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":0.9987999796867371,"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/T12391","display_name":"Artificial Immune Systems Applications","score":0.983299970626831,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T12288","display_name":"Optimization and Search Problems","score":0.9753000140190125,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/swarm-intelligence","display_name":"Swarm intelligence","score":0.79117751121521},{"id":"https://openalex.org/keywords/tree-traversal","display_name":"Tree traversal","score":0.7779968976974487},{"id":"https://openalex.org/keywords/swarm-behaviour","display_name":"Swarm behaviour","score":0.7459527254104614},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6807171106338501},{"id":"https://openalex.org/keywords/depth-first-search","display_name":"Depth-first search","score":0.6304891705513},{"id":"https://openalex.org/keywords/iterative-deepening-depth-first-search","display_name":"Iterative deepening depth-first search","score":0.5972007513046265},{"id":"https://openalex.org/keywords/bidirectional-search","display_name":"Bidirectional search","score":0.5446062684059143},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.5227477550506592},{"id":"https://openalex.org/keywords/breadth-first-search","display_name":"Breadth-first search","score":0.4987483024597168},{"id":"https://openalex.org/keywords/search-and-rescue","display_name":"Search and rescue","score":0.4776950180530548},{"id":"https://openalex.org/keywords/search-algorithm","display_name":"Search algorithm","score":0.4655979573726654},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.45140963792800903},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4505952298641205},{"id":"https://openalex.org/keywords/local-search","display_name":"Local search (optimization)","score":0.44875770807266235},{"id":"https://openalex.org/keywords/beam-search","display_name":"Beam search","score":0.4234089255332947},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38105830550193787},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3322916030883789},{"id":"https://openalex.org/keywords/incremental-heuristic-search","display_name":"Incremental heuristic search","score":0.30521684885025024},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.29998183250427246},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24324128031730652},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.23975273966789246},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1675547957420349},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.127623051404953},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06784030795097351}],"concepts":[{"id":"https://openalex.org/C119487961","wikidata":"https://www.wikidata.org/wiki/Q863960","display_name":"Swarm intelligence","level":3,"score":0.79117751121521},{"id":"https://openalex.org/C140745168","wikidata":"https://www.wikidata.org/wiki/Q1210082","display_name":"Tree traversal","level":2,"score":0.7779968976974487},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.7459527254104614},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6807171106338501},{"id":"https://openalex.org/C62692426","wikidata":"https://www.wikidata.org/wiki/Q816319","display_name":"Depth-first search","level":3,"score":0.6304891705513},{"id":"https://openalex.org/C14362708","wikidata":"https://www.wikidata.org/wiki/Q1675274","display_name":"Iterative deepening depth-first search","level":5,"score":0.5972007513046265},{"id":"https://openalex.org/C831591","wikidata":"https://www.wikidata.org/wiki/Q59750","display_name":"Bidirectional search","level":5,"score":0.5446062684059143},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.5227477550506592},{"id":"https://openalex.org/C138843760","wikidata":"https://www.wikidata.org/wiki/Q325904","display_name":"Breadth-first search","level":2,"score":0.4987483024597168},{"id":"https://openalex.org/C2775935494","wikidata":"https://www.wikidata.org/wiki/Q741964","display_name":"Search and rescue","level":3,"score":0.4776950180530548},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.4655979573726654},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.45140963792800903},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4505952298641205},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.44875770807266235},{"id":"https://openalex.org/C19889080","wikidata":"https://www.wikidata.org/wiki/Q2835852","display_name":"Beam search","level":3,"score":0.4234089255332947},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38105830550193787},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3322916030883789},{"id":"https://openalex.org/C139979381","wikidata":"https://www.wikidata.org/wiki/Q17056021","display_name":"Incremental heuristic search","level":4,"score":0.30521684885025024},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29998183250427246},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24324128031730652},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.23975273966789246},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1675547957420349},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.127623051404953},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06784030795097351},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apsipaasc47483.2019.9023211","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc47483.2019.9023211","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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":19,"referenced_works":["https://openalex.org/W1514107797","https://openalex.org/W1754904414","https://openalex.org/W1817667747","https://openalex.org/W1988185570","https://openalex.org/W1989407213","https://openalex.org/W2007113317","https://openalex.org/W2021272950","https://openalex.org/W2031960564","https://openalex.org/W2070224057","https://openalex.org/W2112571153","https://openalex.org/W2152195021","https://openalex.org/W2236837519","https://openalex.org/W2290427810","https://openalex.org/W2408746829","https://openalex.org/W2592935948","https://openalex.org/W2902857859","https://openalex.org/W2949992533","https://openalex.org/W4252151492","https://openalex.org/W4253572110"],"related_works":["https://openalex.org/W2150470619","https://openalex.org/W2224555876","https://openalex.org/W2166539025","https://openalex.org/W3098335909","https://openalex.org/W2402589461","https://openalex.org/W96515380","https://openalex.org/W2376570066","https://openalex.org/W2354057059","https://openalex.org/W3014882394","https://openalex.org/W1973053649"],"abstract_inverted_index":{"The":[0],"challenge":[1],"in":[2,78,89],"search":[3,40,95,103,128],"and":[4,24,67,105,129,166],"rescue":[5,130],"is":[6,18,143,176],"to":[7,56,92,145,169,190],"identify":[8],"the":[9,14,22,32,38,59,64,68,84,90,100,110,135,150,157,171],"optimal":[10,172],"paths":[11],"when":[12],"searching":[13],"entire":[15],"location.":[16,60],"This":[17],"further":[19],"complicated":[20],"by":[21],"unknown":[23],"yet":[25],"complex":[26],"environmental":[27],"terrain;":[28],"whilst":[29],"being":[30],"under":[31],"pressure":[33],"of":[34,37,70,127,148,152,159,174],"time.":[35],"Many":[36],"existing":[39,111],"algorithms":[41],"such":[42],"as":[43],"Depth":[44],"First":[45,116],"Search":[46,117,140],"(DFS)":[47],"are":[48],"focused":[49],"on":[50,119],"having":[51,183],"only":[52],"a":[53,94,163],"single":[54],"agent":[55],"sweep":[57],"through":[58,73],"Drawing":[61],"inspiration":[62],"from":[63],"self-organisation":[65],"mechanism":[66],"emergence":[69],"global":[71],"behaviour":[72],"local":[74],"interactions":[75],"between":[76,87],"agents":[77,88,175,185],"swarm":[79,91],"intelligence;":[80],"this":[81],"study":[82],"utilises":[83],"information":[85],"exchange":[86],"navigate":[93],"area":[96],"effectively.":[97],"We":[98,124],"demonstrate":[99,181],"proposed":[101,136],"swarm-based":[102],"method":[104],"compare":[106],"its":[107],"performance":[108],"against":[109],"path":[112],"finding":[113],"algorithm":[114],"Breadth":[115],"(BFS)":[118],"terrains":[120],"with":[121,132,154],"different":[122],"complexity.":[123],"conducted":[125],"simulations":[126],"operations;":[131],"findings":[133],"that":[134,182],"Swarm":[137],"Intelligence":[138],"Based":[139],"Strategy":[141],"(SIS)":[142],"able":[144],"reach":[146],"upwards":[147],"95%":[149],"effectiveness":[151],"BFS":[153],"approximately":[155],"one-fifth":[156],"cost":[158],"BFS.":[160],"In":[161],"addition,":[162],"thorough":[164],"analysis":[165],"experimental":[167],"results":[168,179],"show":[170],"number":[173],"shown.":[177],"Our":[178],"also":[180],"more":[184],"do":[186],"not":[187],"necessarily":[188],"lead":[189],"better":[191],"traversal.":[192]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
