{"id":"https://openalex.org/W3008599210","doi":"https://doi.org/10.1109/ssci44817.2019.9002901","title":"Surrogate-Assisted Optimization of the Opt-IA Artificial Immune System Algorithm","display_name":"Surrogate-Assisted Optimization of the Opt-IA Artificial Immune System Algorithm","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3008599210","doi":"https://doi.org/10.1109/ssci44817.2019.9002901","mag":"3008599210"},"language":"en","primary_location":{"id":"doi:10.1109/ssci44817.2019.9002901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci44817.2019.9002901","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Symposium Series on Computational Intelligence (SSCI)","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/A5042803322","display_name":"Yuko Sakanaka","orcid":null},"institutions":[{"id":"https://openalex.org/I26120043","display_name":"Ochanomizu University","ror":"https://ror.org/03599d813","country_code":"JP","type":"education","lineage":["https://openalex.org/I26120043"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuko Sakanaka","raw_affiliation_strings":["Department of Information Sciences, Ochanomizu University, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Sciences, Ochanomizu University, Tokyo, Japan","institution_ids":["https://openalex.org/I26120043"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002767684","display_name":"Nathana\u00ebl Aubert-Kato","orcid":"https://orcid.org/0000-0002-9100-1855"},"institutions":[{"id":"https://openalex.org/I26120043","display_name":"Ochanomizu University","ror":"https://ror.org/03599d813","country_code":"JP","type":"education","lineage":["https://openalex.org/I26120043"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nathanael Aubert-Kato","raw_affiliation_strings":["Department of Information Sciences, Ochanomizu University, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Sciences, Ochanomizu University, Tokyo, Japan","institution_ids":["https://openalex.org/I26120043"]}]}],"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":0.17545605,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"1937","last_page":"1944"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12391","display_name":"Artificial Immune Systems Applications","score":0.9975000023841858,"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"}},"topics":[{"id":"https://openalex.org/T12391","display_name":"Artificial Immune Systems Applications","score":0.9975000023841858,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9758999943733215,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10580","display_name":"Immunotherapy and Immune Responses","score":0.9470000267028809,"subfield":{"id":"https://openalex.org/subfields/2403","display_name":"Immunology"},"field":{"id":"https://openalex.org/fields/24","display_name":"Immunology and Microbiology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.7539345026016235},{"id":"https://openalex.org/keywords/sobol-sequence","display_name":"Sobol sequence","score":0.6903923749923706},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6299780607223511},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.578877866268158},{"id":"https://openalex.org/keywords/artificial-immune-system","display_name":"Artificial immune system","score":0.5679101943969727},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5405733585357666},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5095279812812805},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5054211616516113},{"id":"https://openalex.org/keywords/surrogate-model","display_name":"Surrogate model","score":0.4965415596961975},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4722194969654083},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.45012709498405457},{"id":"https://openalex.org/keywords/function-optimization","display_name":"Function optimization","score":0.44943487644195557},{"id":"https://openalex.org/keywords/optimization-algorithm","display_name":"Optimization algorithm","score":0.43002066016197205},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.41596975922584534},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.41152146458625793},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3900596499443054},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.29760271310806274},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.24373367428779602},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2277892529964447},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.09739699959754944}],"concepts":[{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.7539345026016235},{"id":"https://openalex.org/C49740808","wikidata":"https://www.wikidata.org/wiki/Q7550116","display_name":"Sobol sequence","level":3,"score":0.6903923749923706},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6299780607223511},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.578877866268158},{"id":"https://openalex.org/C93768804","wikidata":"https://www.wikidata.org/wiki/Q2518735","display_name":"Artificial immune system","level":2,"score":0.5679101943969727},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5405733585357666},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5095279812812805},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5054211616516113},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.4965415596961975},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4722194969654083},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.45012709498405457},{"id":"https://openalex.org/C2989189746","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Function optimization","level":3,"score":0.44943487644195557},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.43002066016197205},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.41596975922584534},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.41152146458625793},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3900596499443054},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29760271310806274},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.24373367428779602},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2277892529964447},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.09739699959754944},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssci44817.2019.9002901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci44817.2019.9002901","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1489802521","https://openalex.org/W1502922572","https://openalex.org/W1504059836","https://openalex.org/W1531671386","https://openalex.org/W1556941002","https://openalex.org/W1559956479","https://openalex.org/W1746819321","https://openalex.org/W2012451526","https://openalex.org/W2029157991","https://openalex.org/W2093229042","https://openalex.org/W2093625674","https://openalex.org/W2101234009","https://openalex.org/W2109042184","https://openalex.org/W2119430977","https://openalex.org/W2126105956","https://openalex.org/W2164934768","https://openalex.org/W2243243769","https://openalex.org/W2725382342","https://openalex.org/W3105047877","https://openalex.org/W4211049957","https://openalex.org/W4211158698","https://openalex.org/W6629078203","https://openalex.org/W6675354045","https://openalex.org/W6676279030","https://openalex.org/W6690562134","https://openalex.org/W6786151234"],"related_works":["https://openalex.org/W3006167044","https://openalex.org/W3097451558","https://openalex.org/W4200140753","https://openalex.org/W2767823223","https://openalex.org/W4322626096","https://openalex.org/W3182247597","https://openalex.org/W2365049509","https://openalex.org/W2538551773","https://openalex.org/W2374020771","https://openalex.org/W2378943855"],"abstract_inverted_index":{"Artificial":[0],"immune":[1,43],"systems":[2],"are":[3],"bio-inspired":[4],"algorithms":[5],"capable":[6],"of":[7,36,39,49,82],"optimizing":[8],"highly":[9],"difficult":[10],"objective":[11],"functions,":[12],"with":[13],"multi-modal":[14],"and":[15],"deceptive":[16],"landscapes.":[17],"In":[18],"order":[19],"to":[20,32,68],"do":[21],"so,":[22],"they":[23],"require":[24],"large":[25],"evaluation":[26],"budgets.":[27],"Here,":[28],"we":[29,58],"describe":[30,59],"how":[31],"reduce":[33],"the":[34,40,47,65,70,79,88],"number":[35],"function":[37],"evaluations":[38],"Opt-IA":[41,83,95],"artificial":[42],"system":[44],"algorithm":[45],"through":[46],"use":[48],"a":[50],"surrogate":[51],"model":[52],"based":[53,63],"on":[54,64,84,87,96],"Gaussian":[55],"Processes.":[56],"Furthermore,":[57],"an":[60],"exploration":[61],"strategy,":[62],"Sobol":[66],"sequence,":[67],"bootstrap":[69],"optimization":[71],"process.":[72],"We":[73],"show":[74],"that":[75],"such":[76],"methods":[77],"increase":[78],"convergence":[80],"speed":[81],"several":[85],"functions":[86,99],"noiseless":[89],"BBOB":[90],"testbed.":[91],"Our":[92],"method":[93],"outperforms":[94],"most":[97],"tested":[98],"for":[100],"low-precision":[101],"targets.":[102]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
