Robust optimum design of SAW filters by the penalty function method

Electrical Engineering in Japan (English translation of Denki Gakkai Ronbunshi)

Volumn 158, Issue 3, 2007, Pages 45-54

  Tagawa, Kiyoharu ^a   Ohtani, Toru ^a   Igaki, Tsutomu ^b   Seki, Syunichi ^b   Inoue, Katsumi ^a  

^a KOBE UNIVERSITY   (Japan)

^b PANASONIC CORPORATION   (Japan)

Author keywords

Penalty function method; Robust optimum design; Surface acoustic wave devices

Indexed keywords

ACOUSTIC SURFACE WAVE DEVICES; CONSTRAINT THEORY; EQUIVALENT CIRCUITS; FREQUENCY RESPONSE; ROBUSTNESS (CONTROL SYSTEMS); TRANSDUCERS;

EQUIVALENT CIRCUIT MODELS; PENALTY FUNCTION METHODS; ROBUST OPTIMUM DESIGN; VARIABLE NEIGHBORHOOD SEARCH;

DIGITAL FILTERS;

EID: 33846390732     PISSN: 04247760     EISSN: 15206416     Source Type: Journal    
DOI: 10.1002/eej.20469     Document Type: Article

References (16)

1. Campbell CK. Surface acoustic wave devices for mobile and wireless communications. Academic Press; 1998.
2. Hashimoto K. Surface acoustic wave devices in telecommunications - Modeling and simulation. Springer; 2000.
3. Tancrell RH. Analytic design of surface wave bandpass filters. IEEE Trans Sonics Ultrasonics 1974;SU-21:12-22.
4. Bausk EV. Optimization of broadband withdrawal weighted interdigital transducers for high selective SAW filters. IEEE Trans Ultrasonics Ferroelectrics Frequency Control 1999;46:1276-1282.
5. Park K-C, Kagawa Y, Tsuchiya T. Optimum design of surface acoustic wave filters using genetic algorithm. Simulation 1999;18:6-11. (in Japanese)
6. Tagawa K, Tokunaga K, Haneda H, Igaki T, Seki S. Optimal design of three-IDT type SAW filter by using variable neighborhood search. IEEJ Trans EIS 2003:123:407-413. (in Japanese)
7. Kojima T. Electrical equivalent circuits for surface-acoustic-wave transducers - Their scientific interest, wonder and importance. Proc 31st EM Symposium, p 49-74, 2002. (in Japanese)
8. Smith WR, Pedler WF. Fundamental- and harmonic-frequency circuit-model analysis of interdigital transducers with arbitrary metallization ratios and polarity sequences. IEEE Trans Microwave Theory Tech 1975;MTT-23:853-864.
9. Polak E. Computational methods in optimization - A unified approach. Academic Press; 1971.
10. Gendreau M, Hertz A, Laporte G. A tabu search heuristic for the vehicle routing problem. Manage Sci 1994;40:1276-1290.
11. Yagiura M, Ibaragi T. Combinatorial optimization-Meta heuristic. Asakura Publishing Co.; 2001. (in Japanese)
12. Gen M, Cheng R. A survey of penalty techniques in genetic algorithms. Proc IEEE International Conference on Evolutionary Computation, p 804-809, 1996.
13. Barbosa HJC, Lemonge ACC. An adaptive penalty scheme in genetic algorithms for constrained optimization problems. Proc of the Genetic on Evolutionary Computation Conference, p 287-294, 2002.
14. Runarsson TP, Yao X. Stochastic ranking for constrained evolutionary optimization. IEEE Trans Evol Comput 2000;4:284-294.
15. Yamakawa H. Optimum design. Calculation mechanics and CAE series 9. Baifukan; 1993. (in Japanese)
16. Mladenovic N, Hansen P. Variable neighborhood search. Comput Oper Res 1997;24:1097-1100.