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Volumn 12, Issue 4, 2006, Pages 432-449

Multi-objective evolutionary algorithms and pattern search methods for circuit design problems

Author keywords

Circuit design problems; Classical optimization methods; Evolutionary algorithms; Evolutionary electronics; Genetic algorithms; Leapfrog filter; Multi objective optimization; Operational transconductance amplifier; Pattern search methods

Indexed keywords


EID: 33646419800     PISSN: 0958695X     EISSN: 09486968     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (23)

References (17)
  • 3
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    • Studies on desing automation of analog circuits - The design flow
    • Linlköpings universitet, Linlköpings, Sweden. PhD Thesis
    • Hjamlmarson, E.(2003) "Studies on desing automation of analog circuits - the design flow," Department of Electrical Engineering. Linlköpings universitet, Linlköpings, Sweden. PhD Thesis.
    • (2003) Department of Electrical Engineering
    • Hjamlmarson, E.1
  • 11
    • 33646434729 scopus 로고    scopus 로고
    • Applications of multi-objective evolutionary algorithms
    • Coello Coello, and Lamont, G. B. Editors, World Scientific
    • Coello Coello, and Lamont, G. B. Editors (2004) "Applications of Multi-Objective Evolutionary Algorithms," Advances in Natural Computation, vol. 1, World Scientific.
    • (2004) Advances in Natural Computation , vol.1
  • 14
    • 2942547409 scopus 로고    scopus 로고
    • Spea2: Improving the strength pareto evolutionary algorithm for multiObjective optimization
    • CIMNE, Barcelona, Spain
    • Zitzler, E. Laumannns, M. and Thiele, L. (2002) "Spea2: Improving the Strength Pareto Evolutionary Algorithm for MultiObjective Optimization," Evolutionary Methods for Desing, Optimisation and Control. CIMNE, Barcelona, Spain, pp. 95-100.
    • (2002) Evolutionary Methods for Desing, Optimisation and Control , pp. 95-100
    • Zitzler, E.1    Laumannns, M.2    Thiele, L.3
  • 15
    • 84878545782 scopus 로고    scopus 로고
    • Multiobjective optimization using evolutionary algorithms - A comparative case study
    • Zitzler, E. and Thiele, L. (1998) "Multiobjective optimization using evolutionary algorithms - A comparative case study," in Parallel Problem Solving from Nature V (PPSN - V), pp. 292-301.
    • (1998) Parallel Problem Solving from Nature v (PPSN - V) , pp. 292-301
    • Zitzler, E.1    Thiele, L.2
  • 16
    • 0003808330 scopus 로고    scopus 로고
    • Multiobjective evolutionary algorithms: Classification, analyses, and new innovations
    • Ph.D. Thesis, Dayton. OH: Air Force Institute of Technology
    • Veldhuizen, V. D. (1999) "Multiobjective Evolutionary Algorithms: Classification, Analyses, and New Innovations," Ph.D. Thesis, Dayton. OH: Air Force Institute of Technology. Technical Report No. AFIT/DS/ENG/99-01.
    • (1999) Technical Report No. AFIT/DS/ENG/99-01 , vol.AFIT-DS-ENG-99-01
    • Veldhuizen, V.D.1
  • 17
    • 27144534854 scopus 로고    scopus 로고
    • Heuristincs for optimising the calculation of hypervolume for multi-objective optimisation problems
    • IEEE Press
    • While L., Bradstreet L, Barone L. and Hingston P. (2005), "Heuristincs for Optimising the Calculation of Hypervolume for Multi-objective Optimisation Problems," IEEE Congress on Evolutionary Computation (CEC) vol. 3 IEEE Press, pp 2225-2232.
    • (2005) IEEE Congress on Evolutionary Computation (CEC) , vol.3 , pp. 2225-2232
    • While, L.1    Bradstreet, L.2    Barone, L.3    Hingston, P.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.