{"id":"https://openalex.org/W4409760116","doi":"https://doi.org/10.1201/9781003589716-1","title":"Recent developments in AI-powered mechanical design and optimization","display_name":"Recent developments in AI-powered mechanical design and optimization","publication_year":2025,"publication_date":"2025-04-24","ids":{"openalex":"https://openalex.org/W4409760116","doi":"https://doi.org/10.1201/9781003589716-1"},"language":"en","primary_location":{"id":"doi:10.1201/9781003589716-1","doi":"https://doi.org/10.1201/9781003589716-1","is_oa":false,"landing_page_url":"https://doi.org/10.1201/9781003589716-1","pdf_url":null,"source":{"id":"https://openalex.org/S4306463075","display_name":"CRC Press eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320584","host_organization_name":"CRC Press","host_organization_lineage":["https://openalex.org/P4310320584","https://openalex.org/P4310320547"],"host_organization_lineage_names":["CRC Press","Taylor & Francis"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Design Optimization Using Artificial Intelligence","raw_type":"book-chapter"},"volume":{"id":"https://openalex.org/W4409760055","display_name":"Design Optimization Using Artificial Intelligence"},"type":"book-chapter","is_traditional":true,"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/A5054037779","display_name":"Ashwani Kumar","orcid":"https://orcid.org/0000-0003-4099-935X","observed_orcids":["https://orcid.org/0000-0003-4099-935X","https://orcid.org/0000-0002-8071-5748"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ashwani Kumar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002384477","display_name":"Mukesh Kumar Awasthi","orcid":"https://orcid.org/0000-0002-6706-5226","observed_orcids":["https://orcid.org/0000-0002-6706-5226"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mukesh Kumar Awasthi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006014899","display_name":"Shivam Kumar Singh","orcid":"https://orcid.org/0000-0002-1296-7257","observed_orcids":["https://orcid.org/0000-0002-1296-7257"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. P. Singh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5107763960","display_name":"Neha Singh Raghuvanshi","orcid":"https://orcid.org/0000-0002-8437-6261","observed_orcids":["https://orcid.org/0000-0002-8437-6261"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Neha Singh Raghuvanshi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8021,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.74951456,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.336899995803833,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.336899995803833,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11115","display_name":"Topology Optimization in Engineering","score":0.1875,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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":0.11999999731779099,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/design-optimization","display_name":"design optimization","score":0.8029999732971191},{"id":"https://openalex.org/keywords/machine-learning","display_name":"machine learning","score":0.8100000023841858},{"id":"https://openalex.org/keywords/deep-learning","display_name":"deep learning","score":0.9990000128746033},{"id":"https://openalex.org/keywords/evolutionary-algorithms","display_name":"evolutionary algorithms","score":0.8939999938011169},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.9929999709129333},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":1.0},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"structural engineering","score":0.625},{"id":"https://openalex.org/keywords/product-development","display_name":"product development","score":0.9860000014305115},{"id":"https://openalex.org/keywords/data-quality","display_name":"data quality","score":0.699999988079071},{"id":"https://openalex.org/keywords/interpretability","display_name":"interpretability","score":0.890999972820282},{"id":"https://openalex.org/keywords/uncertainty-handling","display_name":"uncertainty management","score":0.7319999933242798},{"id":"https://openalex.org/keywords/design-automation","display_name":"design automation","score":0.5910000205039978}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.405178427696228},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.34905609488487244},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.34513694047927856}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1201/9781003589716-1","doi":"https://doi.org/10.1201/9781003589716-1","is_oa":false,"landing_page_url":"https://doi.org/10.1201/9781003589716-1","pdf_url":null,"source":{"id":"https://openalex.org/S4306463075","display_name":"CRC Press eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320584","host_organization_name":"CRC Press","host_organization_lineage":["https://openalex.org/P4310320584","https://openalex.org/P4310320547"],"host_organization_lineage_names":["CRC Press","Taylor & Francis"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Design Optimization Using Artificial Intelligence","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6773999929428101,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7142156436","https://openalex.org/W4378085082","https://openalex.org/W7117471289","https://openalex.org/W7139943607","https://openalex.org/W4409004346","https://openalex.org/W7127097237","https://openalex.org/W4409760125","https://openalex.org/W4405734618","https://openalex.org/W7142084209","https://openalex.org/W4409760075"],"abstract_inverted_index":{"This":[0],"study":[1,127,188],"explores":[2,128],"into":[3,118,191],"the":[4,22,43,72,92,103,123,141,155,158,169,174,179,187,199],"application":[5,130],"of":[6,28,52,106,144,149,176,181,201],"machine":[7,55,80],"learning":[8,11,59,81],"and":[9,17,25,57,65,77,86,99,115,137,151,160,178,205],"deep":[10,58],"techniques":[12],"to":[13,35,121,196],"revolutionize":[14],"mechanical":[15,84,97,135,203],"design":[16,85,98,119,152,204],"optimization":[18,124,146,165],"processes.":[19],"By":[20,183],"exploring":[21],"fundamental":[23],"concepts":[24],"practical":[26],"implementations":[27],"these":[29,185],"AI-driven":[30],"methods,":[31],"this":[32],"chapter":[33,156],"aims":[34],"identify":[36],"potential":[37,192],"areas":[38],"for":[39,79,171],"future":[40,193],"advancements":[41],"in":[42,83,95,147],"field.":[44],"The":[45,88,126],"review":[46],"commences":[47],"with":[48,163],"a":[49],"comprehensive":[50],"overview":[51],"artificial":[53],"intelligence,":[54],"learning,":[56],"techniques,":[60],"including":[61,132],"their":[62],"classifications,":[63],"comparisons,":[64],"common":[66],"programming":[67],"frameworks.":[68],"It":[69,101],"further":[70,197],"discusses":[71],"suitable":[73],"input":[74],"data":[75],"formats":[76],"datasets":[78],"applications":[82],"optimization.":[87,100,206],"subsequent":[89],"section":[90],"examines":[91],"current":[93],"state-of-the-art":[94],"AI-powered":[96,145,164,202],"highlights":[102],"successful":[104],"integration":[105],"AI":[107],"algorithms,":[108,112],"such":[109],"as":[110],"evolutionary":[111],"neural":[113],"networks,":[114],"Bayesian":[116],"optimization,":[117],"software":[120],"automate":[122],"process.":[125],"diverse":[129],"domains,":[131],"structural":[133],"engineering,":[134],"design,":[136],"product":[138],"development,":[139],"showcasing":[140],"significant":[142],"benefits":[143],"terms":[148],"efficiency":[150],"quality.":[153],"Finally,":[154],"addresses":[157],"challenges":[159],"limitations":[161],"associated":[162],"approaches.":[166],"These":[167],"include":[168],"need":[170],"high-quality":[172],"data,":[173],"interpretability":[175],"results,":[177],"handling":[180],"uncertainty.":[182],"acknowledging":[184],"challenges,":[186],"provides":[189],"insights":[190],"research":[194],"directions":[195],"advance":[198],"field":[200]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-10-10T09:11:00.788812","created_date":"2025-04-25T00:00:00"}