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For the rapid and optimal digital prototyping of architectural forms, this paper proposes a novel metaheuristic optimization technique that hybridizes standard low-level algorithms: the differential evolutionary cuckoo-search-integrated tabu-adaptive pattern search (DECS-TAPS). We compared DECS-TAPS to 10 major standard algorithms and 31 hybrids through 14 benchmark tests and investigated multi-objective ADO problems to prove the computational effectiveness of multiple algorithm hybridization. Our findings show that DECS-TAPS is vastly efficient and superior to the covariance matrix adaptation evolution strategy algorithm in multifunnel and weak structural functions. The global sensitivity analysis demonstrated that integrating multiple algorithms is likely conducive to lowering parameter dependence and increasing robustness. For the practical application of DECS-TAPS in building simulation and design automation, Zebroid\u2014a Rhino Grasshopper (GH) add-on\u2014was developed using IronPython and the GH visual scripting language.<\/jats:p>","DOI":"10.1093\/jcde\/qwac100","type":"journal-article","created":{"date-parts":[[2022,9,16]],"date-time":"2022-09-16T14:58:35Z","timestamp":1663340315000},"page":"2103-2133","source":"Crossref","is-referenced-by-count":8,"title":["Differential evolutionary cuckoo-search-integrated tabu-adaptive pattern search (DECS-TAPS): a novel multihybrid variant of swarm intelligence and evolutionary algorithm in architectural design optimization and automation"],"prefix":"10.1093","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9386-2456","authenticated-orcid":false,"given":"Hwang","family":"Yi","sequence":"first","affiliation":[{"name":"Department of Architecture, Ajou University , 206 World cup-ro, Yeongtong-gu, Suwon-Si, Gyeonggi-do 16499 , South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Inhan","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Architecture, Kyung Hee University , 1732 Deogyeong-daero, Yongin-si, Gyeonggi-do 17104 , South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2022,9,20]]},"reference":[{"key":"2022102509112141200_bib1","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1016\/B978-0-12-813314-9.00010-4","article-title":"Metaheuristic algorithms: A comprehensive review","volume-title":"Computational intelligence for multimedia big data on the cloud with engineering applications","author":"Abdel-Basset","year":"2018"},{"key":"2022102509112141200_bib2","doi-asserted-by":"crossref","first-page":"4795","DOI":"10.3390\/app11114795","article-title":"Niching grey wolf optimizer for multimodal optimization problems","volume":"11","author":"Ahmed","year":"2021","journal-title":"Applied Sciences"},{"key":"2022102509112141200_bib3","doi-asserted-by":"crossref","first-page":"405","DOI":"10.1162\/evco_a_00260","article-title":"Diagonal acceleration for covariance matrix adaptation evolution strategies","volume":"28","author":"Akimoto","year":"2020","journal-title":"Evolutionary Computation"},{"key":"2022102509112141200_bib4","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1016\/j.asej.2016.07.008","article-title":"A hybrid particle swarm optimization and genetic algorithm with population partitioning for large scale optimization problems","volume":"8","author":"Ali","year":"2017","journal-title":"Ain Shams Engineering Journal"},{"key":"2022102509112141200_bib5","doi-asserted-by":"crossref","first-page":"683","DOI":"10.1515\/jisys-2017-0268","article-title":"A hybrid cuckoo search and simulated annealing algorithm","volume":"28","author":"Alkhateeb","year":"2019","journal-title":"Journal of Intelligent Systems"},{"key":"2022102509112141200_bib6","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1007\/s10288-014-0275-2","article-title":"Simulation optimization: a review of algorithms and applications","volume":"12","author":"Amaran","year":"2014","journal-title":"4OR"},{"key":"2022102509112141200_bib7","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1016\/j.ijepes.2012.11.002","article-title":"Performance assessment of PSO, DE and hybrid PSO\u2013DE algorithms when applied to the dispatch of generation and demand","volume":"47","author":"Ara\u00fajo","year":"2013","journal-title":"International Journal of Electrical Power & Energy Systems"},{"key":"2022102509112141200_bib8","first-page":"1","article-title":"Performative design processes in architectural practices in turkey: Architects\u2019 perception","author":"Ataman","year":"2021","journal-title":"Architectural Engineering and Design Management"},{"key":"2022102509112141200_bib9","doi-asserted-by":"crossref","first-page":"188","DOI":"10.1137\/040603371","article-title":"Mesh adaptive direct search algorithms for constrained optimization","volume":"17","author":"Audet","year":"2006","journal-title":"SIAM Journal on Optimization"},{"key":"2022102509112141200_bib10","doi-asserted-by":"crossref","first-page":"467","DOI":"10.1007\/s11047-007-9049-5","article-title":"A review of particle swarm optimization. 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