{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,26]],"date-time":"2025-10-26T15:01:13Z","timestamp":1761490873410,"version":"3.40.5"},"reference-count":66,"publisher":"Cambridge University Press (CUP)","issue":"4","license":[{"start":{"date-parts":[[2019,11,8]],"date-time":"2019-11-08T00:00:00Z","timestamp":1573171200000},"content-version":"unspecified","delay-in-days":7,"URL":"https:\/\/www.cambridge.org\/core\/terms"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["AIEDAM"],"published-print":{"date-parts":[[2019,11]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Conceptual design is a key stage of product design and has received increasing attention in recent years. However, this stage is characterized by limited information, large uncertainty, and multidisciplinary aspects. Thus, increased workload and time cost are associated with conceptual design information acquisition; sometimes, it is difficult to develop novel solutions and the feasibility of the solutions obtained according to these limited and uncertain information is difficult to guarantee. Genetics-based design (GBD) is an effective approach to develop novel solutions and improve the reuse of knowledge, which is consistent with the goal of the conceptual design process. Product-gene acquisition is the premise and basis of GBD. At present, there are few reported studies in this area; most of the existing works are constrained by the structural aspects of the acquisition process, and there are limited studies on specific implementation techniques. To explore the specific implementation technologies of product-gene acquisition, an intelligent acquisition method based on <jats:italic>K<\/jats:italic>-means clustering and mutual information-based feature selection algorithm is proposed in this paper. The product genes defined in this paper are key product information that determines the nature of the product and influences the conceptual design process. Thus, solutions obtained according to them are more feasible than that based on limited and uncertain information. An illustrative example is presented. The results show that the proposed method can achieve intelligent acquisition of product genes to a certain extent. Further, the proposed method will allow designers to quickly search for the corresponding product genes when performing similar functional design tasks.<\/jats:p>","DOI":"10.1017\/s0890060419000258","type":"journal-article","created":{"date-parts":[[2019,11,8]],"date-time":"2019-11-08T06:55:25Z","timestamp":1573196125000},"page":"469-483","source":"Crossref","is-referenced-by-count":8,"title":["Intelligent product-gene acquisition method based on <i>K<\/i>-means clustering and mutual information-based feature selection algorithm"],"prefix":"10.1017","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1827-4539","authenticated-orcid":false,"given":"Pan","family":"Li","sequence":"first","affiliation":[]},{"given":"Yanzhao","family":"Ren","sequence":"additional","affiliation":[]},{"given":"Yan","family":"Yan","sequence":"additional","affiliation":[]},{"given":"Guoxin","family":"Wang","sequence":"additional","affiliation":[]}],"member":"56","published-online":{"date-parts":[[2019,11,8]]},"reference":[{"key":"S0890060419000258_ref38","doi-asserted-by":"publisher","DOI":"10.1115\/1.1467602"},{"key":"S0890060419000258_ref5","doi-asserted-by":"publisher","DOI":"10.1016\/0092-8674(90)90721-P"},{"key":"S0890060419000258_ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s003660050035"},{"key":"S0890060419000258_ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2005.159"},{"key":"S0890060419000258_ref21","doi-asserted-by":"publisher","DOI":"10.1016\/S0040-1625(99)00105-5"},{"key":"S0890060419000258_ref56","doi-asserted-by":"publisher","DOI":"10.3901\/CJME.2007.06.114"},{"key":"S0890060419000258_ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2014.02.001"},{"key":"S0890060419000258_ref53","doi-asserted-by":"publisher","DOI":"10.1017\/S0890060415000037"},{"key":"S0890060419000258_ref3","doi-asserted-by":"publisher","DOI":"10.1080\/02331930902878333"},{"key":"S0890060419000258_ref59","doi-asserted-by":"publisher","DOI":"10.1017\/S0890060400001621"},{"key":"S0890060419000258_ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPEL.2009.2037961"},{"key":"S0890060419000258_ref18","doi-asserted-by":"publisher","DOI":"10.3901\/JME.2002.10.001"},{"key":"S0890060419000258_ref16","first-page":"390","article-title":"Ontology-based executable design decision template representation and reuse","volume":"30","author":"Chris","year":"2016","journal-title":"Ai Edam Artificial Intelligence for Engineering Design Analysis and Manufacturing"},{"key":"S0890060419000258_ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.cad.2005.02.009"},{"key":"S0890060419000258_ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2016.03.008"},{"key":"S0890060419000258_ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-004-2164-x"},{"key":"S0890060419000258_ref36","unstructured":"Macqueen J (1967) Some methods for classification and analysis of multivariate observations. Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability 1, Oakland, CA, USA, pp. 281\u2013297."},{"key":"S0890060419000258_ref28","doi-asserted-by":"publisher","DOI":"10.1126\/science.aaa8415"},{"key":"S0890060419000258_ref25","first-page":"705","article-title":"Configurable knowledge component technology oriented to product design tasks","volume":"18","author":"Hao","year":"2012","journal-title":"Computer Integrated Manufacturing Systems"},{"key":"S0890060419000258_ref14","doi-asserted-by":"publisher","DOI":"10.1115\/1.2180807"},{"key":"S0890060419000258_ref8","doi-asserted-by":"publisher","DOI":"10.1115\/1.3593409"},{"key":"S0890060419000258_ref11","doi-asserted-by":"publisher","DOI":"10.1080\/09544820701790623"},{"key":"S0890060419000258_ref10","first-page":"557","article-title":"Virtual genes of manufacturing products and their reforms for product innovative design","volume":"218","author":"Chen","year":"2004","journal-title":"Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science"},{"key":"S0890060419000258_ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2012.33"},{"key":"S0890060419000258_ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2013.11.024"},{"key":"S0890060419000258_ref50","first-page":"565","article-title":"A proposed new algorithm for hierarchical clustering suitable for video data mining","volume":"3","author":"Saravanan","year":"2011","journal-title":"International journal of Data Mining and Knowledge Engineering"},{"volume-title":"Engineering Design","year":"1984","author":"Pahl","key":"S0890060419000258_ref41"},{"key":"S0890060419000258_ref51","doi-asserted-by":"publisher","DOI":"10.1016\/S0962-8924(00)88961-8"},{"key":"S0890060419000258_ref63","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-016-9477-7"},{"key":"S0890060419000258_ref45","doi-asserted-by":"publisher","DOI":"10.1017\/S0890060400001633"},{"key":"S0890060419000258_ref15","first-page":"379","article-title":"Product-design knowledge retrieval based on ontology","volume":"20","author":"Chen","year":"2011","journal-title":"Journal of Beijing Institute of Technology"},{"key":"S0890060419000258_ref44","doi-asserted-by":"publisher","DOI":"10.1016\/S0954-1810(98)00003-X"},{"key":"S0890060419000258_ref48","doi-asserted-by":"crossref","first-page":"351","DOI":"10.1017\/S0890060415000384","article-title":"Coevolutionary and genetic algorithm based building spatial and structural design","volume":"29","author":"Rudi","year":"2015","journal-title":"AIEDAM: Artificial Intelligence for Engineering Design Analysis and Manufacturing"},{"key":"S0890060419000258_ref4","doi-asserted-by":"publisher","DOI":"10.1109\/72.298224"},{"volume-title":"Introduction to Information Retrieval","year":"2010","author":"Manning","key":"S0890060419000258_ref37"},{"key":"S0890060419000258_ref20","first-page":"26","article-title":"Design prototypes: a knowledge representation schema for design","volume":"11","author":"Gero","year":"1990","journal-title":"AI Magazine"},{"key":"S0890060419000258_ref22","doi-asserted-by":"publisher","DOI":"10.1016\/S0954-1810(97)00022-8"},{"key":"S0890060419000258_ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.destud.2003.10.010"},{"key":"S0890060419000258_ref24","first-page":"1157","article-title":"An introduction to variable and feature selection","volume":"3","author":"Guyon","year":"2003","journal-title":"Journal of Machine Learning Research"},{"volume-title":"Process-Based Knowledge Engineering and Innovation","year":"2016","author":"Zhao","key":"S0890060419000258_ref64"},{"key":"S0890060419000258_ref54","doi-asserted-by":"publisher","DOI":"10.1017\/S0890060417000142"},{"key":"S0890060419000258_ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s12206-013-0123-x"},{"key":"S0890060419000258_ref29","doi-asserted-by":"publisher","DOI":"10.1162\/089976601300014493"},{"key":"S0890060419000258_ref19","doi-asserted-by":"publisher","DOI":"10.1177\/0954406215585595"},{"key":"S0890060419000258_ref30","doi-asserted-by":"publisher","DOI":"10.1016\/S0957-4174(02)00138-0"},{"key":"S0890060419000258_ref47","doi-asserted-by":"publisher","DOI":"10.1126\/science.1242072"},{"key":"S0890060419000258_ref35","unstructured":"Luo SJ , Sun SQ , Pan YH and Zhu SS. (2004) A case study on product collaborative conceptual design technology based on user implicit knowledge. International Conference on Computer Supported Cooperative Work in Design 1, Xiamen, China, pp. 191\u2013196."},{"key":"S0890060419000258_ref60","doi-asserted-by":"publisher","DOI":"10.1016\/j.destud.2006.11.001"},{"key":"S0890060419000258_ref39","doi-asserted-by":"publisher","DOI":"10.1093\/mnras\/stu344"},{"key":"S0890060419000258_ref40","doi-asserted-by":"publisher","DOI":"10.1038\/ncomms1132"},{"key":"S0890060419000258_ref58","unstructured":"Ullman DG (1992) The Mechanical Design Process. Vol. 2. New York: McGraw-Hill."},{"key":"S0890060419000258_ref42","doi-asserted-by":"publisher","DOI":"10.1162\/089976603321780272"},{"volume-title":"Artificial Intelligence: A Modern Approach","year":"2013","author":"Russell","key":"S0890060419000258_ref49"},{"key":"S0890060419000258_ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.compchemeng.2013.06.017"},{"key":"S0890060419000258_ref66","first-page":"1463","article-title":"Research on the reverse mold assembly technology based on product gene","volume":"475","author":"Zhu","year":"2014","journal-title":"Applied Mechanics and Materials"},{"key":"S0890060419000258_ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ICNC.2010.5584838"},{"key":"S0890060419000258_ref1","doi-asserted-by":"publisher","DOI":"10.1299\/jamdsm.6.1234"},{"key":"S0890060419000258_ref61","unstructured":"Waris MM , Sanin C and Szczerbicki E (2016) Framework for product innovation using SOEKS and decisional DNA. Asian Conference on Intelligent Information and Database Systems, Da Nang, Vietnam, March 14\u201316, 2016, pp. 480\u2013489."},{"key":"S0890060419000258_ref62","first-page":"30","article-title":"Research on ontology-based product knowledge S-B-F representation model","volume":"10","author":"Ying","year":"2004","journal-title":"Computer Integrated Manufacturing Systems"},{"key":"S0890060419000258_ref31","doi-asserted-by":"publisher","DOI":"10.1016\/S0004-3702(97)00043-X"},{"key":"S0890060419000258_ref65","first-page":"2060","article-title":"Research on intelligent product conceptual design based on cognitive process","volume":"230","author":"Zheng","year":"2015","journal-title":"Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science"},{"key":"S0890060419000258_ref6","doi-asserted-by":"publisher","DOI":"10.1016\/S0954-1810(97)10009-7"},{"key":"S0890060419000258_ref46","doi-asserted-by":"publisher","DOI":"10.1007\/s00163-012-0129-x"},{"key":"S0890060419000258_ref34","doi-asserted-by":"publisher","DOI":"10.1145\/2461912.2461969"},{"key":"S0890060419000258_ref52","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-008-1607-1"},{"key":"S0890060419000258_ref2","doi-asserted-by":"publisher","DOI":"10.1155\/2013\/489257"}],"container-title":["Artificial Intelligence for Engineering Design, Analysis and Manufacturing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.cambridge.org\/core\/services\/aop-cambridge-core\/content\/view\/S0890060419000258","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,12,31]],"date-time":"2019-12-31T03:30:29Z","timestamp":1577763029000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.cambridge.org\/core\/product\/identifier\/S0890060419000258\/type\/journal_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11]]},"references-count":66,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2019,11]]}},"alternative-id":["S0890060419000258"],"URL":"https:\/\/doi.org\/10.1017\/s0890060419000258","relation":{},"ISSN":["0890-0604","1469-1760"],"issn-type":[{"type":"print","value":"0890-0604"},{"type":"electronic","value":"1469-1760"}],"subject":[],"published":{"date-parts":[[2019,11]]}}}