Application of multi objective evolutionary algorithms to analogue filter tuning

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1993, Issue , 2001, Pages 546-559

  Thompson, Mark ^a  

^a SHEFFIELD HALLAM UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER AIDED SOFTWARE ENGINEERING; ENERGY TRANSFER; GENETIC ALGORITHMS; SIMULATED ANNEALING;

ANALOGUE FILTERS; ANTENNA TUNING UNITS; HARMONIC REJECTION; MAXIMUM POWER TRANSFER; MULTI OBJECTIVE; MULTI OBJECTIVE EVOLUTIONARY ALGORITHMS; MULTI-OBJECTIVE GENETIC ALGORITHM; RELATIVE PERFORMANCE;

ANTENNAS;

EID: 84931328253     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44719-9_38     Document Type: Conference Paper

References (30)

1. SUN, Y., FIDLER, J. K.”High Speed Automatic Antenna Tuning Units”, IEE 9th Int. Conf. on Antennas and Propagation, 1995.
2. GALKIN, V. A., “Automatic Antenna Matching Devices for Portable Radio Systems”, Radiotekhnika, No. 11, pp71-73, 1991.
3. SHAW, A.K., “Optimal Estimation of the Parameters of All-Pole Transfer Functions”, IEEE Trans. on Circuits and Systems, Vol. 41, No. 2, February 1994.
4. PETOVIC, P, J. MILEUSIC, TODOROVIC, J., “Fast Antenna Tuners For High Power HF Radio Systems”, IEE Conf. Publication No. 308, European Conf. Circuit Theory and Design, Brighton, UK, 1989.
5. THOMPSON, M., FIDLER, J.K. “Tuning The Pi-Network Using the Genetic Algorithm and Simulated Annealing”, Proceedings of the 1997 European Conference on Circuit Theory and Design, pp 949-954, 1997.
6. THOMPSON, M., FIDLER, J. K." A novel approach for fast antenna tuning using transputer based simulated annealing", Electronic Letters, Vol. 36 No. 7, 2000.
7. GOLDBERG, D.E., "Genetic Algorithms in Search, Optimization and Machine Learning", Addison-Wiley, 1989.
8. FONSECA, C.M., FLEMING, P.J., "Genetic Algorithms for Multiobjective Optimization: Formulation, Discussion and Generalization, Proc. Fifth International Conference on Genetic Algorithms, ed. S. Forrest, Morgan Kaufman, 1993.
9. METROPOLIS, N., ROSENBLUTH, A. W., ROSENBLUTH, M.N. and TELLER, A.H.:”Equation of State Calculations by Fast Computing Machines”, Journal of Chemical Physics 21 p1087, 1953.
10. BOHACHEVSKY, I.O., JOHNSON, M.E., STEIN, M. L.”Generalized Simulated Annealing for Function Optimization”, Technometrics, Vol. 28, No. 3, 1986.
11. KIRKPATRICK S., GELATT C.D., VECCHI M. P.”Optimization by Simulated Annealing”, Science Vol. 220, p 671, 1983.
12. LAARDHOVEN P.J.M. VON and AARTS, E. H. L.”Simulated Annealing Theory and Applications”, D. Reidel Publishing Company, pp40-138, 1988.
13. SZU, H., HARTLEY, R.”Fast Simulated Annealing”, Physics Letters A, Vol. 122, Number 3,4, pp157-162, 1987.
14. WHIDBORNE, J.F., GU, D.W., POSTLETHWAITE, I., "Simulated Annealing for Multi-Objective Control System Design" UKACC International Conference on CONTROL '96, pp.376-381, 1996.
15. ECCLESTONE, J., WHITAKER, D., "On the Design of optimal change-over experiments through multiobjective simulated annealing", Statistics and Computing Vol. 9 pp.37-42, 1999.
16. ZITZLER, E., DEB, K., THIELE, L., "Comparison of Multiobjective Evolutionary Algorithms: Empirical Results", Evolutionary Computation Vol. 8 No. 2 pp.173-195, 2000.
17. ZITZLER, E., THIELE, L., "Multiobjective Evolutionary Algorithms: A Comparative Case Study and the Strength Pareto Approach.", IEEE Transactions on Evolutionary Computation, Vol. 3 No. 4, pp 257-271, 1999.
18. VAN VELDHUIZEN, D.A., LAMONT, G.B., "Multiobjective Evolutionary Algorithms: Analyzing the State of the Art", IEEE Transactions on Evolutionary Computation, Vol. 8 No. 2 pp125-147, 2000.
19. SHAW, K.J., FONSECA, C.M., FLEMING, P.J., "A Simple Demonstration of a Quantitative Technique for Comparing Multiobjective Genetic Algorithm Performance", Proceedings of the Genetic and evolutionary Computation Conference pp.119-120, 1999.
20. DAVIS, L., “Handbook Of Genetic Algorithms”, Van Nostrand Reinhold, pp1-53, 1991.
21. DAVIS, L.”Genetic Algorithms and Simulated Annealing”, Morgan Kaufmann, 1987.
22. BUCKLES, B.P., PETRY, F.E., “Genetic Algorithms”, IEEE Computer Society Press, pp 5-19, pp30-47, 1994.
23. GREFENSTETTE, J. J., “Optimization of Control Parameters for Genetic Algorithms”, IEEE Transactions on Systems, Man, and Cybernetics, pp 122-128, Jan /Feb. 1986.
24. GREFENSTETTE, J.J., BAKER, J. E., “How Genetic Algorithms Work: A Critical Look at Implicit Parallelism”, Proceedings of the Third International Conference on Genetic Algorithms, Morgan Kaufmann, pp70-79, 1989.
25. DE JONG, K., “Learning with Genetic Algorithms: An Overview”, Machine Learning 3, Kluwer Academic, pp121-138, 1988.
26. GOLDBERG, D.E., “Zen and the Art of Genetic Algorithms”, Proceedings of the Third International Conference on Genetic Algorithms, pp80-85, 1989.
27. SCHAFFER J. DAVID (ED) “Proceedings of the Third International Conference on Genetic Algorithms”, Morgan Kaufman, 1989.
28. MITCHELL, M., “An introduction to Genetic Algorithms”, MIT Press, 1996.
29. MICHALEWICZ, Z., “Genetic Algorithms+Data Structures=Evolution Programs”, Springer, 1992.
30. WHITLEY D. L., “Foundations Of Genetic Algorithms 2”, Morgan Kaufmann, pp22-239, 1993.