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Effective genetic algorithms for combinatorial optimization : Analytical and empirical approaches : 조합 최적화를 위한 효과적인 유전 알고리즘

DC Field Value Language
dc.contributor.advisor문병로-
dc.contributor.author최성순-
dc.date.accessioned2010-02-02T16:10:38Z-
dc.date.available2010-02-02T16:10:38Z-
dc.date.copyright2006-
dc.date.issued2006-
dc.identifier.other000000048764-
dc.identifier.urihttp://dcollection.snu.ac.kr:80/jsp/common/DcLoOrgPer.jsp?sItemId=000000048764-
dc.descriptionThesis(doctor`s)--서울대학교 대학원 :전기·컴퓨터공학부,2006.-
dc.format.extentvii, 129 leaves-
dc.language.isoen-
dc.publisher서울대학교 대학원-
dc.subject유전 알고리즘-
dc.subjectGenetic algorithms-
dc.subject조합 최적화-
dc.subjectcombinatorial optimization-
dc.subject정규화-
dc.subjectnormalization-
dc.subject문제 공간 분석-
dc.subjectsearch space analysis-
dc.subject정렬망 문제-
dc.subjectsorting network problem-
dc.subject생존 확률-
dc.subjectsurvival probability-
dc.subject상위-
dc.subjectepistasis-
dc.subject블랙 박스 시나리오-
dc.subjectblack box scenario-
dc.subject월시 변환-
dc.subjectWalsh analysis-
dc.titleEffective genetic algorithms for combinatorial optimization : Analytical and empirical approaches-
dc.title.alternative조합 최적화를 위한 효과적인 유전 알고리즘-
dc.typeThesis-
dc.contributor.department전기·컴퓨터공학부-
dc.description.degreeThesis(doctor`s)---
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