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Evolutionary computing and algorithms are well known tools of optimisation that are utilized for various areas of analogue electronic circuits design and diagnosis. This paper presents the possibility of using two evolutionary algorithms - genetic algorithm and evolutionary strategies - for the purpose of analogue circuits yield and cost optimisation. Terms: technologic and parametric yield are defined. Procedures of parametric yield optimisation, such as a design centring, a design tolerancing, a design centring with tolerancing, are introduced. Basics of genetic algorithm and evolutionary strategies are presented, differences between these two algorithms are highlighted, certain aspects of implementation are discussed. Effectiveness of both algorithms in parametric yield optimisation has been tested on several examples and results have been presented. A share of evolutionary algorithms computation cost in a total optimisation cost is analyzed.

JO - Bulletin of the Polish Academy of Sciences: Technical Sciences L1 - http://sd.czasopisma.pan.pl/Content/110536/PDF/%2856-1%299.pdf L2 - http://sd.czasopisma.pan.pl/Content/110536 IS - No 1 EP - 16 KW - evolutionary algorithms KW - parametric yield KW - production cost KW - optimisation KW - computation cost ER - A1 - Jantos, P. A1 - Rutkowski, J. VL - vol. 56 JF - Bulletin of the Polish Academy of Sciences: Technical Sciences SP - 9 T1 - Evolutionary methods to analogue electronic circuits yield optimisation UR - http://sd.czasopisma.pan.pl/dlibra/docmetadata?id=110536