{"id":"https://openalex.org/W2302393644","doi":"https://doi.org/10.1109/robio.2009.5420562","title":"Mathematical-based benchmarking and performance improvement for ANT exploration algorithm","display_name":"Mathematical-based benchmarking and performance improvement for ANT exploration algorithm","publication_year":2009,"publication_date":"2009-12-01","ids":{"openalex":"https://openalex.org/W2302393644","doi":"https://doi.org/10.1109/robio.2009.5420562","mag":"2302393644"},"language":"en","primary_location":{"id":"doi:10.1109/robio.2009.5420562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2009.5420562","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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/A5082695599","display_name":"Panteha Saeedi","orcid":null},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Panteha Saeedi","raw_affiliation_strings":["Computer Science Department, University College London, London, UK"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University College London, London, UK","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112555487","display_name":"S. A. S\u00f6rensen","orcid":null},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Soren Aksel Sorensen","raw_affiliation_strings":["Computer Science Department, University College London, London, UK"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University College London, London, UK","institution_ids":["https://openalex.org/I45129253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5082695599"],"corresponding_institution_ids":["https://openalex.org/I45129253"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18432546,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"48","issue":null,"first_page":"859","last_page":"864"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9602000117301941,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9602000117301941,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9538999795913696,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9514999985694885,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.7357099056243896},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6747760772705078},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5750129222869873},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5446152687072754},{"id":"https://openalex.org/keywords/ant-colony-optimization-algorithms","display_name":"Ant colony optimization algorithms","score":0.49692657589912415},{"id":"https://openalex.org/keywords/search-algorithm","display_name":"Search algorithm","score":0.48073530197143555},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45855042338371277},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39235594868659973},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3420766592025757},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1761777400970459}],"concepts":[{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.7357099056243896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6747760772705078},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5750129222869873},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5446152687072754},{"id":"https://openalex.org/C40128228","wikidata":"https://www.wikidata.org/wiki/Q460851","display_name":"Ant colony optimization algorithms","level":2,"score":0.49692657589912415},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.48073530197143555},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45855042338371277},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39235594868659973},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3420766592025757},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1761777400970459},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/robio.2009.5420562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2009.5420562","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:162465","is_oa":false,"landing_page_url":"http://discovery.ucl.ac.uk/162465/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"     In:    (pp. pp. 859-864).  IEEE Computer Society: Los Alamitos, US. (2009)     ","raw_type":"Proceedings paper"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:162478","is_oa":false,"landing_page_url":"http://discovery.ucl.ac.uk/162478/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"     In:   (Proceedings) IEEE International Conference on Computational Intelligence and Software Engineering (CISE09).    (2009)     ","raw_type":"Proceedings paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W18783640","https://openalex.org/W53133671","https://openalex.org/W1507418669","https://openalex.org/W1553630916","https://openalex.org/W1606822458","https://openalex.org/W1873425142","https://openalex.org/W1965612527","https://openalex.org/W2044175740","https://openalex.org/W2060069920","https://openalex.org/W2085261163","https://openalex.org/W2124918924","https://openalex.org/W2142924305","https://openalex.org/W2169751014","https://openalex.org/W2260955843","https://openalex.org/W3122165036","https://openalex.org/W4253636159","https://openalex.org/W4285719527","https://openalex.org/W6600791012","https://openalex.org/W6632902980","https://openalex.org/W6633070053","https://openalex.org/W6684915096","https://openalex.org/W6693077302"],"related_works":["https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W1490753184","https://openalex.org/W2284465472","https://openalex.org/W2291782699","https://openalex.org/W1993948687","https://openalex.org/W2000169967","https://openalex.org/W2112883198"],"abstract_inverted_index":{"Exploration":[0],"robots":[1],"are":[2,54],"sent":[3],"inside":[4,50,102],"collapsed":[5],"building":[6],"in":[7],"search":[8,38,45,105],"of":[9,21,36,43,72,98,109,135],"trapped":[10],"victims.":[11],"Once":[12],"inside,":[13],"they":[14],"have":[15],"to":[16,68,91],"explore":[17],"the":[18,37,41,65,70,75,82,93,114,119,133],"entire":[19],"maze":[20],"obstacles":[22],"and":[23,81],"debris":[24],"as":[25,27],"quickly":[26],"possible":[28],"without":[29],"missing":[30],"any":[31],"accessible":[32],"area":[33],"by":[34,117,129],"means":[35,108],"algorithm.":[39],"Comparing":[40],"performances":[42,116,128,134],"emerging":[44],"algorithms":[46],"against":[47],"known":[48],"benchmarks,":[49],"realistic":[51],"simulated":[52],"fields":[53],"crucial":[55],"for":[56],"fast":[57],"victim":[58,77,94],"localisation.":[59],"In":[60],"this":[61],"paper":[62],"we":[63,112],"apply":[64],"ridge":[66],"regression":[67],"compute":[69],"coefficient":[71],"relationship":[73],"between":[74],"\u00bfANT":[76],"discovery":[78,95],"time":[79,96],"step\u00bf":[80],"\u00bfsearch":[83],"field":[84],"complexity\u00bf.":[85],"The":[86],"estimated":[87],"coefficients":[88,111],"allow":[89],"us":[90],"predict":[92],"step":[97],"ANT":[99,115,121],"exploration":[100,122],"algorithm":[101],"various":[103],"generated":[104],"fields.":[106],"By":[107],"our":[110],"improve":[113],"introducing":[118],"extended":[120],"(EANT).":[123],"We":[124],"also":[125],"evaluate":[126],"EANT":[127],"comparing":[130],"them":[131],"with":[132],"other":[136],"existing":[137],"algorithms.":[138]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}