{"id":"https://openalex.org/W7202375447","doi":"https://doi.org/10.1145/3795101.3805333","title":"Beyond a Single Plan: Genetic Algorithms for Flexible Maritime Search and Rescue","display_name":"Beyond a Single Plan: Genetic Algorithms for Flexible Maritime Search and Rescue","publication_year":2026,"publication_date":"2026-07-13","ids":{"openalex":"https://openalex.org/W7202375447","doi":"https://doi.org/10.1145/3795101.3805333"},"language":"en","primary_location":{"id":"doi:10.1145/3795101.3805333","doi":"https://doi.org/10.1145/3795101.3805333","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3795101.3805333","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Genetic and Evolutionary Computation Conference Companion (GECCO Companion)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1145/3795101.3805333","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5143455587","display_name":"Taehun Kim","orcid":"https://orcid.org/0009-0002-3315-2484","observed_orcids":["https://orcid.org/0009-0002-3315-2484","https://orcid.org/0009-0000-0210-0126"]},"institutions":[{"id":"https://openalex.org/I161024014","display_name":"Kwangwoon University","ror":"https://ror.org/02e9zc863","country_code":"KR","type":"education","lineage":["https://openalex.org/I161024014"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"TaeHun Kim","raw_affiliation_strings":["Kwangwoon University, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0002-3315-2484","affiliations":[{"raw_affiliation_string":"Kwangwoon University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I161024014"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135325760","display_name":"Hae-Sang Jeong","orcid":"https://orcid.org/0000-0003-1714-6519","observed_orcids":["https://orcid.org/0000-0003-1714-6519"]},"institutions":[{"id":"https://openalex.org/I4210090949","display_name":"Korea Environment Institute","ror":"https://ror.org/00bxeqa64","country_code":"KR","type":"education","lineage":["https://openalex.org/I4210090949","https://openalex.org/I4210097958"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hae-Sang Jeong","raw_affiliation_strings":["Korea Environment Institute, Sejong, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0003-1714-6519","affiliations":[{"raw_affiliation_string":"Korea Environment Institute, Sejong, Republic of Korea","institution_ids":["https://openalex.org/I4210090949"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020828661","display_name":"Choong-Ki Kim","orcid":"https://orcid.org/0000-0002-8931-529X","observed_orcids":["https://orcid.org/0000-0002-8931-529X"]},"institutions":[{"id":"https://openalex.org/I4210090949","display_name":"Korea Environment Institute","ror":"https://ror.org/00bxeqa64","country_code":"KR","type":"education","lineage":["https://openalex.org/I4210090949","https://openalex.org/I4210097958"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Choong-Ki Kim","raw_affiliation_strings":["Korea Environment Institute, Sejong, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-8931-529X","affiliations":[{"raw_affiliation_string":"Korea Environment Institute, Sejong, Republic of Korea","institution_ids":["https://openalex.org/I4210090949"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020411302","display_name":"Seung-Yeol Hong","orcid":"https://orcid.org/0009-0006-5806-3401","observed_orcids":["https://orcid.org/0009-0006-5806-3401"]},"institutions":[{"id":"https://openalex.org/I161024014","display_name":"Kwangwoon University","ror":"https://ror.org/02e9zc863","country_code":"KR","type":"education","lineage":["https://openalex.org/I161024014"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seung-Yeol Hong","raw_affiliation_strings":["Kwangwoon University, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0006-5806-3401","affiliations":[{"raw_affiliation_string":"Kwangwoon University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I161024014"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046031351","display_name":"Yong-Hyuk Kim","orcid":"https://orcid.org/0000-0002-0492-0889","observed_orcids":["https://orcid.org/0000-0002-0492-0889"]},"institutions":[{"id":"https://openalex.org/I161024014","display_name":"Kwangwoon University","ror":"https://ror.org/02e9zc863","country_code":"KR","type":"education","lineage":["https://openalex.org/I161024014"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yong-Hyuk Kim","raw_affiliation_strings":["Kwangwoon University, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-0492-0889","affiliations":[{"raw_affiliation_string":"Kwangwoon University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I161024014"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"621","last_page":"624"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.5985999703407288,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.5985999703407288,"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/T11502","display_name":"Facility Location and Emergency Management","score":0.290800005197525,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13371","display_name":"Military Defense Systems Analysis","score":0.07590000331401825,"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/maritime-search-and-rescue","display_name":"maritime search and rescue","score":0.9990000128746033},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"resource allocation","score":0.6830000281333923},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"genetic algorithm","score":0.5870000123977661},{"id":"https://openalex.org/keywords/metaheuristic-optimization","display_name":"metaheuristic optimization","score":0.6909999847412109},{"id":"https://openalex.org/keywords/particle-diffusion","display_name":"particle diffusion","score":0.5860000252723694},{"id":"https://openalex.org/keywords/multi-objective-decision-making","display_name":"multi-objective decision making","score":0.6019999980926514},{"id":"https://openalex.org/keywords/solution-diversity","display_name":"solution diversity","score":0.5040000081062317}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5830000042915344},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.3684000074863434},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.31540000438690186},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29840001463890076},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.2728999853134155},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2721000015735626},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2669000029563904},{"id":"https://openalex.org/C2775935494","wikidata":"https://www.wikidata.org/wiki/Q741964","display_name":"Search and rescue","level":3,"score":0.2630000114440918},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.2551000118255615},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.24819999933242798}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3795101.3805333","doi":"https://doi.org/10.1145/3795101.3805333","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3795101.3805333","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Genetic and Evolutionary Computation Conference Companion (GECCO Companion)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3795101.3805333","doi":"https://doi.org/10.1145/3795101.3805333","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3795101.3805333","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Genetic and Evolutionary Computation Conference Companion (GECCO Companion)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1497256448","https://openalex.org/W1595159159","https://openalex.org/W2098724418","https://openalex.org/W2111262199","https://openalex.org/W2152195021","https://openalex.org/W3020915451","https://openalex.org/W4388877221","https://openalex.org/W7117163904"],"related_works":["https://openalex.org/W4401213006","https://openalex.org/W7117163904","https://openalex.org/W4413950075","https://openalex.org/W4407023937","https://openalex.org/W3020915451","https://openalex.org/W4283750171","https://openalex.org/W2139177468","https://openalex.org/W7162005263","https://openalex.org/W4399195236","https://openalex.org/W4411529893"],"abstract_inverted_index":{"In":[0,65,100],"maritime":[1],"search":[2,17,24,35,48,70],"and":[3,25,62,82,137],"rescue":[4,26],"(SAR)":[5],"operations,":[6],"the":[7,16,34,38,66,69,101],"estimated":[8,87],"location":[9],"of":[10,40],"survivors":[11],"spreads":[12],"over":[13],"time,":[14],"causing":[15],"area":[18,36,71],"to":[19,92,96,117],"expand":[20],"continuously.":[21],"Deploying":[22],"limited":[23,94],"units":[27],"(SRUs)":[28],"efficiently":[29],"is":[30,72,86,110],"critical,":[31],"but":[32],"as":[33,112],"grows,":[37],"number":[39],"possible":[41],"deployment":[42,105],"combinations":[43],"increases":[44],"exponentially,":[45],"making":[46],"exhaustive":[47],"impractical.":[49],"This":[50],"study":[51],"proposes":[52],"a":[53,75,113],"two-stage":[54],"metaheuristic-based":[55],"optimization":[56],"framework":[57,123],"that":[58,142],"balances":[59],"computational":[60],"efficiency":[61],"solution":[63,155],"quality.":[64],"first":[67],"stage,":[68,103],"discretized":[73],"into":[74],"grid":[76,83],"using":[77,129],"simulated":[78,132],"particle":[79,90,134],"diffusion":[80],"results,":[81],"cell":[84,109],"importance":[85],"based":[88],"on":[89],"distribution":[91],"assign":[93],"SRUs":[95],"high-priority":[97],"cells":[98],"first.":[99],"second":[102],"SRU":[104],"within":[106],"each":[107],"selected":[108],"reformulated":[111],"permutation-based":[114],"matching":[115],"problem":[116],"refine":[118],"resource":[119],"allocation.":[120],"The":[121],"proposed":[122],"was":[124],"evaluated":[125],"across":[126],"72":[127],"scenarios":[128],"genetic":[130,143],"algorithm,":[131],"annealing,":[133],"swarm":[135],"optimization,":[136],"differential":[138],"evolution.":[139],"Results":[140],"show":[141],"algorithm":[144],"consistently":[145],"outperformed":[146],"other":[147],"algorithms":[148],"under":[149],"resource-constrained":[150],"conditions":[151],"while":[152],"maintaining":[153],"high":[154],"diversity,":[156],"providing":[157],"multiple":[158],"high-quality":[159],"alternatives":[160],"for":[161],"practical":[162],"SAR":[163],"decision-making.":[164]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2026-08-14T00:00:00"}