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Volumn 48, Issue 1-3, 2002, Pages 99-112

Genetic engineering versus natural evolution: Genetic algorithms with deterministic operators

Author keywords

Automated design problem solving; Circuit synthesis; Evolutionary algorithms; Genetic algorithms; Genetic engineering; Heuristic search; Input support minimization

Indexed keywords

GENETIC ALGORITHMS; GENETIC ENGINEERING; HEURISTIC METHODS; MATHEMATICAL OPERATORS; OPTIMIZATION; PROBLEM SOLVING;

EID: 0036711523     PISSN: 13837621     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1383-7621(02)00094-2     Document Type: Article
Times cited : (14)

References (42)
  • 12
    • 0035389908 scopus 로고    scopus 로고
    • Baldwinian learning utilizing genetic andheuristic algorithms for logic synthesis and minimization of incompletely specified data with generalized Reed-Muller (AND-EXOR) forms
    • (2001) Journal of Systems Architecture , vol.47 , Issue.6 , pp. 477-489
    • Dill, K.M.1    Perkowski, M.A.2
  • 26
    • 0029485074 scopus 로고
    • General decomposition and its use in digital circuit synthesis
    • (1995) VLSI Design , vol.3 , Issue.3-4 , pp. 225-248
    • Jóźwiak, L.1
  • 30
    • 0005348636 scopus 로고    scopus 로고
    • Functional decomposition based on information relationship measures extremely effective for symmetric functions
    • Milan, Italy, 8-10 September 1999; IEEE Computer Society Press, Los Alamitos, CA, USA
    • (1999) 25th EUROMICRO Conference , pp. 150-160
    • Jóźwiak, L.1    Chojnacki, A.2
  • 42
    • 0029518798 scopus 로고
    • Division-based versus general decomposition-based multiple-level logic synthesis
    • (1995) VLSI Design , vol.3 , Issue.3-4 , pp. 267-287
    • Volf, F.1    Jóźwiak, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.