{"id":"https://openalex.org/W4385224430","doi":"https://doi.org/10.1145/3583133.3596304","title":"A Robust Offline Data-Driven Evolutionary Optimization Algorithm for Solving Expensive Soft Pneumatic Actuator Design","display_name":"A Robust Offline Data-Driven Evolutionary Optimization Algorithm for Solving Expensive Soft Pneumatic Actuator Design","publication_year":2023,"publication_date":"2023-07-15","ids":{"openalex":"https://openalex.org/W4385224430","doi":"https://doi.org/10.1145/3583133.3596304"},"language":"en","primary_location":{"id":"doi:10.1145/3583133.3596304","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583133.3596304","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3583133.3596304","source":null,"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 Companion Conference on Genetic and Evolutionary Computation","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3583133.3596304","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100353472","display_name":"Hao Chen","orcid":"https://orcid.org/0000-0001-5955-3812"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Chen","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5955-3812","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110763803","display_name":"Weikun Li","orcid":"https://orcid.org/0000-0002-5262-5235"},"institutions":[{"id":"https://openalex.org/I3133055985","display_name":"Westlake University","ror":"https://ror.org/05hfa4n20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133055985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weikun Li","raw_affiliation_strings":["Westlake University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5262-5235","affiliations":[{"raw_affiliation_string":"Westlake University, Hangzhou, China","institution_ids":["https://openalex.org/I3133055985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100744155","display_name":"Zhenhua Wang","orcid":"https://orcid.org/0000-0001-6388-7938"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenhua Wang","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6388-7938","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001027483","display_name":"Weicheng Cui","orcid":"https://orcid.org/0000-0003-1871-2658"},"institutions":[{"id":"https://openalex.org/I3133055985","display_name":"Westlake University","ror":"https://ror.org/05hfa4n20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133055985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weicheng Cui","raw_affiliation_strings":["Westlake University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1871-2658","affiliations":[{"raw_affiliation_string":"Westlake University, Hangzhou, China","institution_ids":["https://openalex.org/I3133055985"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005604923","display_name":"Kai Sun","orcid":"https://orcid.org/0000-0002-4784-0782"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Sun","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4784-0782","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5588,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70508892,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2280","last_page":"2281"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9994999766349792,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9872000217437744,"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/T11372","display_name":"Hydraulic and Pneumatic Systems","score":0.982699990272522,"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/robustness","display_name":"Robustness (evolution)","score":0.770250141620636},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6211156845092773},{"id":"https://openalex.org/keywords/surrogate-model","display_name":"Surrogate model","score":0.6210715174674988},{"id":"https://openalex.org/keywords/actuator","display_name":"Actuator","score":0.5979775190353394},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5275200009346008},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4557000398635864},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.413472056388855},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35338136553764343},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2785564661026001},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27435994148254395},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18062520027160645}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.770250141620636},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6211156845092773},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.6210715174674988},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.5979775190353394},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5275200009346008},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4557000398635864},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.413472056388855},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35338136553764343},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2785564661026001},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27435994148254395},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18062520027160645},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3583133.3596304","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583133.3596304","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3583133.3596304","source":null,"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 Companion Conference on Genetic and Evolutionary Computation","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3583133.3596304","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583133.3596304","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3583133.3596304","source":null,"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 Companion Conference on Genetic and Evolutionary Computation","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.7799999713897705,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385224430.pdf","grobid_xml":"https://content.openalex.org/works/W4385224430.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W2768552973","https://openalex.org/W2800879376","https://openalex.org/W3007698149","https://openalex.org/W3012446350","https://openalex.org/W3103418275","https://openalex.org/W3158256907","https://openalex.org/W3193742791","https://openalex.org/W4220747664","https://openalex.org/W4223579769","https://openalex.org/W4361269488"],"related_works":["https://openalex.org/W2621058457","https://openalex.org/W2912622974","https://openalex.org/W2987087830","https://openalex.org/W2953306542","https://openalex.org/W2099333796","https://openalex.org/W4386421932","https://openalex.org/W1999058329","https://openalex.org/W4293363729","https://openalex.org/W2338031201","https://openalex.org/W2022485595"],"abstract_inverted_index":{"Data-driven":[0],"evolutionary":[1],"algorithms":[2],"(DDEAs)":[3],"using":[4],"surrogate":[5,25,69],"models":[6,26],"have":[7],"been":[8],"successfully":[9,109],"applied":[10,110],"in":[11,52],"solving":[12],"expensive":[13,113],"optimization":[14,20,115],"problems.":[15],"However,":[16],"many":[17],"real-world":[18],"engineering":[19],"problems":[21],"can":[22,76],"only":[23],"build":[24],"with":[27,71,83],"limited":[28],"offline":[29,42],"data.":[30],"Inspired":[31],"by":[32,104],"the":[33,38,57,68,78,97,100,112],"K-Fold":[34,58],"cross":[35],"validation":[36],"and":[37],"Bootstrap":[39,89],"aggregating,":[40],"an":[41],"DDEA":[43],"based":[44],"on":[45],"elite":[46,101],"model":[47,70,102],"strategy":[48],"(DDEA-EMS)":[49],"is":[50,64,92,108],"developed":[51],"this":[53],"work.":[54],"In":[55],"DDEA-EMS,":[56],"generalized":[59],"mean":[60],"square":[61],"error":[62],"(KGMSE)":[63],"employed":[65,93],"to":[66,94,111],"select":[67],"best":[72],"prediction":[73,79],"accuracy.":[74],"KGMSE":[75],"evaluate":[77],"accuracy":[80],"of":[81,99,116],"surrogates":[82],"different":[84],"hyper-parameters":[85],"or":[86],"types.":[87],"The":[88,106],"aggregating":[90],"method":[91],"further":[95],"improve":[96],"robustness":[98],"selected":[103],"KGMSE.":[105],"DDEA-EMS":[107],"structural":[114],"a":[117],"soft":[118],"pneumatic":[119],"actuator.":[120]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
