Double-strength CAFFEINE: Fast template-free symbolic modeling of analog circuits via implicit canonical form functions and explicit introns

Proceedings -Design, Automation and Test in Europe, DATE

Volumn 1, Issue , 2006, Pages

  McConaghy, Trent ^a   Gielen, Georges ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

CONSTRAINT THEORY; EVOLUTIONARY ALGORITHMS; MATHEMATICAL MODELS; OPTIMIZATION; REGRESSION ANALYSIS;

CANONICAL FORM FUNCTIONS; INTRONS; SEARCH OPERATORS;

ANALOG CIRCUITS;

EID: 34047179038     PISSN: 15301591     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/date.2006.244136     Document Type: Conference Paper

References (16)

1. G. E. Gielen, "Techniques and Applications of Symbolic Analysis for Analog Integrated Circuits: A Tutorial Overview", in Computer Aided Design of Analog Integrated Circuits And Systems, R.A. Rutenbar et al., eds., IEEE, 2002, pp. 245-261
2. W. Daems, G. Gielen, W. Sansen, "Simulation-based generation of posynomial performance models for the sizing of analog integrated circuits," IEEE Trans. CAD 22(5), May 2003, pp. 517-534
3. T. McConaghy, T. Eeckelaert, G. Gielen, "CAFFEINE: Template-Free Symbolic Model Generation of Analog Circuits via Canonical Form Functions and Genetic Programming", Proc. DATE 2005, March 2005
4. T. McConaghy, G. Gielen, "Analysis of Simulation-Driven Numerical Performance Modeling Techniques for Application to Analog Circuit Optimization," Proc. ISCAS 05, May 2005
5. T. McConaghy, G. Gielen, "IBMG: Interpretable Behavioral Model Generator for Nonlinear Analog Circuits via Canonical Form Functions and Genetic Programming," Proc. ISCAS 05, May 2005
6. E. Zitzler, K. Deb, and L. Thiele, "Comparison of Multiobjective Evolutionary Algorithms: Empirical Results," Evolutionary Computation 8(2), Summer 2000, pp. 173-195
7. J. R. Koza. Genetic Programming. MIT Press, 1992.
8. P. A. Whigham, "Grammatically-based Genetic Programming," Proc. Workshop on GP: Theory to Real-World Applications, J. Rosca ed, 1995
9. M. O'Neill, C. Ryan. Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language. Kluwer, 2003.
10. K. Deb, S. Agrawal, A. Pratap, T.A. Meyarivan, "A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimization: NSGA-II," Proc. PPSN VI, Sept. 2000, pp. 849-858
11. T. McConaghy, "Smooth Operators in Optimization of Circuit Structures," US Patent # 6,859,914, granted Feb. 2005
12. D.E. Goldberg. Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley, 1989.
13. W.B. Langdon, R. Poli. Foundations of Genetic Programming. Springer, 2002.
14. R. Poli, J. Page, W. B. Langdon, "Smooth Uniform Crossover, Sub-Machine Code GP and Demes," Proc. Genetic and Ev. Comp. Conf. (GECCO), vol 2, July 1999, pp. 1162-1169
15. V. Vassilev, J. Miller, "The Advantages of Landscape Neutrality in Digital Circuit Evolution," ICES, 2000,pp. 252-263
16. W. Banzhaf, "Genotype-Phenotype Mapping and Neutral Variation - A Case Study in Genetic Programming," In Y. Davidor et al, eds., Proc. PPSN III, 1994, pp. 322-332