Czasopismo
2008
|
Vol. 56, nr 1
|
9-16
Tytuł artykułu
Autorzy
Wybrane pełne teksty z tego czasopisma
Warianty tytułu
Języki publikacji
Abstrakty
Evolutionary computing and algorithms are well known tools of optimization 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 optimization. Terms: technologic and parametric yield are defined. Procedures of parametric yield optimization, 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 high-lighted, certain aspects of implementation are discussed. Effectiveness of both algorithms in parametric yield optimization has been tested on several examples and results have been presented. A share of evolutionary algorithms computation cost in a total optimization cost is analyzed.
Rocznik
Tom
Strony
9-16
Opis fizyczny
Bibliogr. 8 poz., rys., tab.
Twórcy
autor
autor
- Faculty of Automatic Control, Electronics and Computer Science, Silesian Technical University, 16 Akademicka St., 44-100 Gliwice, Poland, pjantos@polsl.pl
Bibliografia
- [1] J.M. Wojciechowski, L.J. Opalski, and K. Zamłyński, "Design centring using an approximation to the constraint region", IEEE Transactions on Circuits and Systems - I: Regular Papers. 5 (3), 598-607 (2004).
- [2] H. Tian and L. Milor, "Yield optimization for integrated circuits", ISR TR 92-103, http://hdl.handle.net/1903/5284 (1992).
- [3] L. Zielinski and J. Rutkowski, "Design tolerancing with utilization of gene expression programming and genetic algorithm", Int. Conf. Signals and Electronic Systems ICSES, 13-15 (2004).
- [4] T. Back, D.B. Fogel, and Z. Michalewicz, Evolutionary Computation I - Basic Algorithms and Operators, IOP Publishing Ltd, Bristol, 2000.
- [5] T. Back, D.B. Fogel, and Z. Michalewicz, Evolutionary Computation II - Advanced Algorithms and Operators, IOP Publishing Ltd, Bristol, 2000.
- [6] D. Quagliarella, J. Periaux, C. Poloni, and G. Winter, Genetic Algorithms and Evolutionary Strategies in Engineering and Computer Science - Recent Advances and Industrial Applications, John Wiley & Sons Ltd, London, 1998.
- [7] R. L. Haupt and S.E. Haupt, Practical Genetic Algorithms, John Wiley & Sons Ltd, London, 1998.
- [8] D. Whitley, "An overview of evolutionary algorithms: practical issues and common pitfalls", Information and Software Technology 43 (14), 817-831 (2001).
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.baztech-article-BPG5-0031-0002