{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,6,26]],"date-time":"2023-06-26T10:17:46Z","timestamp":1687774666644},"reference-count":22,"publisher":"Cambridge University Press (CUP)","issue":"4","license":[{"start":{"date-parts":[[2003,11,1]],"date-time":"2003-11-01T00:00:00Z","timestamp":1067644800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/www.cambridge.org\/core\/terms"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["AIEDAM"],"published-print":{"date-parts":[[2003,11]]},"abstract":"<jats:p>An evolutionary model for nonroutine design is presented, which is \ncalled hierarchical coevolution. The requirements for an evolutionary \nmodel of nonroutine design are provided, and some of the problems with \nexisting approaches are discussed. Some of the ways in which these \nproblems have been addressed are examined in terms of the design \nknowledge required by evolutionary processes. Then, a synthesis of \nthese approaches as a hierarchical coevolutionary model of nonroutine \ndesign is presented and the manner in which this model addresses the \nrequirements of an evolutionary design model is discussed. An \nimplementation in the domain of space planning provides an example of a \nhierarchical design problem.<\/jats:p>","DOI":"10.1017\/s089006040317401x","type":"journal-article","created":{"date-parts":[[2008,4,21]],"date-time":"2008-04-21T10:30:38Z","timestamp":1208773838000},"page":"273-285","source":"Crossref","is-referenced-by-count":6,"title":["Self-regulatory hierarchical coevolution"],"prefix":"10.1017","volume":"17","author":[{"given":"MIKE","family":"ROSENMAN","sequence":"first","affiliation":[]},{"given":"ROB","family":"SAUNDERS","sequence":"additional","affiliation":[]}],"member":"56","published-online":{"date-parts":[[2003,11,1]]},"reference":[{"key":"S089006040317401X_ref007","unstructured":"Goldberg, D.E. 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InEvolutionary Design by Computers( Bentley, P.J. , Ed.), pp.251\u2013259.San Francisco, CA:Morgan Kaufmann."}],"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\/S089006040317401X","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,6]],"date-time":"2019-05-06T22:19:02Z","timestamp":1557181142000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.cambridge.org\/core\/product\/identifier\/S089006040317401X\/type\/journal_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2003,11]]},"references-count":22,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2003,11]]}},"alternative-id":["S089006040317401X"],"URL":"https:\/\/doi.org\/10.1017\/s089006040317401x","relation":{},"ISSN":["0890-0604","1469-1760"],"issn-type":[{"value":"0890-0604","type":"print"},{"value":"1469-1760","type":"electronic"}],"subject":[],"published":{"date-parts":[[2003,11]]}}}