Military antenna design using simple and competent genetic algorithms

Mathematical and Computer Modelling

Volumn 43, Issue 9-10, 2006, Pages 990-1022

  Santarelli, Scott ^a   Yu, Tian Li ^b   Goldberg, David E ^b   Altshuler, Edward ^a   O'Donnell, Teresa ^a   Southall, Hugh ^c   Mailloux, Robert ^a  

^a AIR FORCE RESEARCH LABORATORY   (United States)

^b University of Illinois at Urbana Champaign   (United States)

^c MIT LINCOLN LABORATORY   (United States)

Author keywords

Competent genetic algorithm; Evolutionary computation; Genetic algorithm (GA); Hierarchical Bayesian optimization algorithm (hBOA); Optimization technique

Indexed keywords

BANDWIDTH; GENETIC ALGORITHMS; HIERARCHICAL SYSTEMS; MILITARY EQUIPMENT; OPTIMIZATION; PATTERN RECOGNITION; PROBLEM SOLVING; PRODUCT DESIGN;

COMPETENT GENETIC ALGORITHM; HIERARCHICAL BAYESIAN OPTIMIZATION ALGORITHM; OPTIMIZATION TECHNIQUE; SIMPLE GENETIC ALGORITHM (SGA);

ANTENNAS;

EID: 33646491188     PISSN: 08957177     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mcm.2005.05.024     Document Type: Article

References (39)

1. Goldberg D.E. Genetic Algorithms in Search, Optimization, and Machine Learning (1989), Addison-Wesley, Reading, MA
2. Goldberg D.E. The Design of Innovation: Lessons from and for Competent Genetic Algorithms (2002), Kluwer Academic Publishers, Boston, MA
3. M. Pelikan, D.E. Goldberg, Hierarchical problem solving by the Bayesian optimization algorithm, in: Genetic and Evolutionary Computation Conference, GECCO-2000, 2000, pp. 267-274 (also IlliGAL Report No. 2000002)
4. Pelikan M., Goldberg D.E., and Sastry K. Bayesian optimization algorithm, decision graphs, and Bayesian networks. Genetic and Evolutionary Computation Conference 2001. GECCO-2001 (2001), Springer-Verlag 519-526 (also IlliGAL Report No. 2000020)
5. Pelikan M., and Goldberg D.E. Escaping hierarchical traps with competent genetic algorithms. Genetic and Evolutionary Computation Conference 2001. GECCO-2001 (2001), Springer-Verlag 511-518 (IlliGAL Also IlliGAL Report No. 2001003)
6. M. Pelikan, Bayesian optimization algorithm: From single level to hierarchy, Ph.D. Thesis, University of Illinois at Urbana-Champaign, Urbana, IL, 2002 (also IlliGAL Report No. 2002023)
7. In: Rahmat-Samii Y., and Michielssen E. (Eds). Electromagnetic Optimization by Genetic Algorithms (1999), Wiley
8. Altshuler E.E. Design of a vehicular antenna for GPS/IRIDIUM using a genetic algorithm. IEEE Trans. Antennas and Propagation 48 (2000) 968-972
9. G.J. Burke, A.J. Poffio, Numerical electromagnetics code (NEC)-method of moments, Lawrenc Livermore Lab., CA, Rep.UCID18834, January 1981
10. Altshuler E.E. Electrically small self-resonant wire antennas optimized using a genetic algorithm. IEEE Trans. Antennas and Propagation 50 (2002) 297-300
11. Altshuler E.E., and Linden D.S. An ultrawide-band impedance-loaded genetic antenna. Trans. Antennas and Propagation 52 11 (2004) 3147-3150
12. Haupt R.L., and Southall H.L. Experimental adaptive nulling with a genetic algorithm. Microw. J. 24 1 (1999) 78-89
13. H. Southall, W. Kornrumpf, J. Staggs, F. Jonas, Y. King, An array antenna space experiment using transmit/receive antenna module (TRAM) technology, in: Proceedings of the 1998 Antenna Applications Symposium, Allerton Park, Illinois, 16-18 September 1998, pp. 160-171
14. Haupt R.L. An introduction to genetic algorithms for electromagnetics. IEEE Antennas Propag. Mag. 37 2 (1995) 7-15
15. P. Franchi, M. Champion, D. Linafelter, H. Southall, Constrained feed for lightweight overlapped subarray antennas, in: Proceedings of the 1997 Antenna Applications Symposium, Allerton Park, Illinois, September 1997
16. Skobolev S.P. Analysis and synthesis of an antenna array with sectoral partial radiation patterns. Radiotechnika 10 (1990) 44-47
17. Altshuler E.E. Electrically small self-resonant wire antennas optimized using a genetic algorithm. IEEE Antennas Propag. Mag. 50 3 (2002) 297-300
18. Altshuler E.E., and Linden D.S. Design of a loaded monopole having hemispherical coverage using a genetic algorithm. IEEE Antennas Propag. Mag. 45 1 (1997) 1-4
19. Altshuler E.E., and Linden D. Wire-antenna designs using genetic algorithms. IEEE Antennas and Propagation Magazine 39 2 (1997)
20. O'Donnell T., Altshuler E.E., and Best S. The significance of genetic representation in genetic antenna design. IEEE Antennas and Propagation Symposium vol. 1 (2003) (Section 7-3)
21. T. O'Donnell, S. Best, E.E. Altshuler, J. Hunter, T. Bullett, R. Barton, Genetic algorithm optimization: A tale of two chromosomes, in: 2003 Antenna Applications Symposium, Monticello, IL, September 2003, pp. 131-146
22. Adaptive Antenna Array for Radar Cross Section (RCS) Measurements, SBIR Phase I Final Report, SBIR Topic #AF98-279, Copywrite ARCON Corporation, Waltham, MA 02451
23. Pelikan M., Goldberg D.E., and Cantú-Paz E. BOA: The Bayesian optimization algorithm. GECCO-99. Proceedings of the Genetic and Evolutionary Computation Conference vol. I (1999) 525-532 (also IlliGAL Report No. 99003)
24. Holland J.H. Adaptation in Natural and Artificial Systems (1975), University of Michigan Press, Ann Arbor, MI
25. D.E. Goldberg, Theory Tutorial (Tutorial presented with G. Liepens at the 1991 International Conference on Genetic Algorithms, La Jolla, CA), 1991
26. Goldberg D.E., Deb K., and Clark J.H. Genetic algorithms, noise, and the sizing of populations. Complex Systems 6 (1992) 333-362 (also IlliGAL Report No. 91010)
27. Goldberg D.E. Genetic algorithms and Walsh functions: Part II, deception and its analysis. Complex Systems 3 (1989) 153-171
28. Deb K., and Goldberg D.E. Analyzing deception in trap functions. Found. Genetic Algorithms 2 (1993) 93-108
29. D.E. Goldberg, Sizing populations for serial and parallel genetic algorithms, in: Proceedings of the Third International Conference on Genetic Algorithms, 1989, pp. 70-79
30. D.E. Goldberg, K. Sastry, T. Latoza, On the supply of building blocks, in: Proceedings of the Genetic and Evolutionary Computation Conference, 2001, pp. 336-342
31. G. Harik, E. Cantú-Paz, D.E. Goldberg, B.L. Miller, The gambler's ruin problem, genetic algorithms, and the sizing of populations, in: Proceedings of 1997 IEEE International Conference on Evolutionary Computation, 1997, pp. 7-12
32. K. Sastry, D.E. Goldberg, Analysis of mixing in genetic algorithms: A survey, IlliGAL Report No. 2002012, 2002
33. In: Larrañaga P., and Lozano J.A. (Eds). Estimation of Distribution Algorithms (2002), Kluwer Academic Publishers, Boston, MA
34. Howard R.A., and Matheson J.E. Influence diagrams. In: Howard R.A., and Matheson J.E. (Eds). Readings on the Principles and Applications of Decision Analysis vol. II (1981), Strategic Decisions Group, Menlo Park, CA 721-762
35. Simon H.A. The Sciences of the Artificial (1968), The MIT Press, Cambridge, MA
36. Harik G.R. Finding multiple solutions in problems of bounded difficulty (1994), University of Illinois at Urbana-Champaign, Urbana, IL (IlliGAL Report No. 94002)
37. Pelikan M., and Goldberg D.E. Hierarchical BOA solves Ising spin glasses and MAXSAT. Genetic and Evolutionary Computation Conference 2003. GECCO-2003 (2003), Springer-Verlag 1271-1282 (also IlliGAL Report No. 2003001)
38. Mailloux R.J. A low-sidelobe partially overlapped constrained feed network for time-delayed subarrays. IEEE Trans. Antennas and Propagation 49 2 (2001) 280-291
39. Kraus J.D. Antennas. 2nd edition (1988), McGraw-Hill, Inc.