{"@context":{"@vocab":"https://cir.nii.ac.jp/schema/1.0/","rdfs":"http://www.w3.org/2000/01/rdf-schema#","dc":"http://purl.org/dc/elements/1.1/","dcterms":"http://purl.org/dc/terms/","foaf":"http://xmlns.com/foaf/0.1/","prism":"http://prismstandard.org/namespaces/basic/2.0/","cinii":"http://ci.nii.ac.jp/ns/1.0/","datacite":"https://schema.datacite.org/meta/kernel-4/","ndl":"http://ndl.go.jp/dcndl/terms/","jpcoar":"https://github.com/JPCOAR/schema/blob/master/2.0/"},"@id":"https://cir.nii.ac.jp/crid/1361699996483123328.json","@type":"Article","productIdentifier":[{"identifier":{"@type":"DOI","@value":"10.1115/detc1993-0339"}},{"identifier":{"@type":"URI","@value":"http://asmedigitalcollection.asme.org/IDETC-CIE/proceedings-pdf/doi/10.1115/DETC1993-0339/6666610/499_1_detc1993-0339.pdf"}}],"dc:title":[{"@value":"A Genetic Algorithm for Solving Mixed Discrete Optimization Problems"}],"description":[{"type":"abstract","notation":[{"@value":"<jats:title>Abstract</jats:title>\n               <jats:p>A new optimal method based on genetic algorithms (GAs) is proposed here towards the mixed discrete optimization problems. This method has not only the advantages of high stability and wide adaptability but also a better chance of locating the global optimum. Its efficiency is much higher than that of simple genetic algorithms.</jats:p>"}]}],"creator":[{"@id":"https://cir.nii.ac.jp/crid/1381699996483123330","@type":"Researcher","foaf:name":[{"@value":"Zhihang Qian"}],"jpcoar:affiliationName":[{"@value":"Huazhong University of Science and Technology"}]},{"@id":"https://cir.nii.ac.jp/crid/1381699996483123328","@type":"Researcher","foaf:name":[{"@value":"Jun Yu"}],"jpcoar:affiliationName":[{"@value":"Huazhong University of Science and Technology"}]},{"@id":"https://cir.nii.ac.jp/crid/1381699996483123329","@type":"Researcher","foaf:name":[{"@value":"Ji Zhou"}],"jpcoar:affiliationName":[{"@value":"Huazhong University of Science and Technology"}]}],"publication":{"prism:publicationName":[{"@value":"19th Design Automation Conference: Volume 1 — Mechanical System Dynamics; Concurrent and Robust Design; Design for Assembly and Manufacture; Genetic Algorithms in Design and Structural Optimization"}],"dc:publisher":[{"@value":"American Society of Mechanical Engineers"}],"prism:publicationDate":"1993-09-19","prism:startingPage":"499","prism:endingPage":"504"},"reviewed":"false","dc:rights":["https://www.asme.org/publications-submissions/publishing-information/legal-policies"],"url":[{"@id":"http://asmedigitalcollection.asme.org/IDETC-CIE/proceedings-pdf/doi/10.1115/DETC1993-0339/6666610/499_1_detc1993-0339.pdf"}],"createdAt":"2021-03-18","modifiedAt":"2021-03-18","relatedProduct":[{"@id":"https://cir.nii.ac.jp/crid/1390282680251826560","@type":"Article","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@language":"en","@value":"Global Optimization by Generalized Random Tunneling Algorithm (4th Report Application to the Nonlinear Optimum Design Problem of the Mixed Design Variables)"}]}],"dataSourceIdentifier":[{"@type":"CROSSREF","@value":"10.1115/detc1993-0339"},{"@type":"CROSSREF","@value":"10.1299/jcst.2.258_references_DOI_3RnPuUEKbAnAYfUHMedEPaoBZb4"}]}