Reliability-based design optimization of broadband microwave absorbers

References

• Cao, M, Zhu, J, Yuan, J, Zhang, T, Peng, Z, Gao, Z, Xiao, G, and Qin, S, 2002. Computation design and performance prediction towards a multi-layer microwave absorber, Mater. Des. 23 (2002), pp. 557–564.
   Web of Science ®Google Scholar
• Jiang, LY, Li, XY, and Zhang, J, 2009. Design of high performance multilayer microwave absorbers using fast pareto genetic algorithm, Sci. China Ser. E: Technol. Sci. 52 (2009), pp. 2749–2757.
   Google Scholar
• Perini, J, and Cohen, LS, 1993. Design of broad-band radar-absorbing materials for large angles of incidence, IEEE Trans. Electromagn. Compat. 35 (1993), pp. 223–230.
   Web of Science ®Google Scholar
• Pesque, JJ, Bouche, DP, and Mittra, R, 1992. Optimization of multilayer antireflection coatings using an optimal control method, IEEE Trans. Microwave Theory Tech. 40 (1992), pp. 1789–1796.
   Web of Science ®Google Scholar
• Michielssen, E, Sajer, J-M, Ranjithan, S, and Mittra, R, 1993. Design of lightweight, broad-band microwave absorbers using genetic algorithms, IEEE Trans. Microwave Theory Tech. 41 (1993), pp. 1024–1030.
   Web of Science ®Google Scholar
• Cui, S, and Weile, DS, 2003. Robust design of absorbers using genetic algorithms and the finite element-boundary integral method, IEEE Trans. Antennas Propag. 51 (2003), pp. 3249–3258.
   Web of Science ®Google Scholar
• Jie, Y, Gang, X, and Mao-Sheng, C, 2006. A novel method of computation and optimization for multi-layered radar absorbing coatings using open source software, Mater. Des. 27 (2006), pp. 45–52.
   Web of Science ®Google Scholar
• Micheli, D, Pastore, R, Apollo, C, Marchetti, M, and Gradoni, G, 2011. Broadband electromagnetic absorbers using carbon nanostructure-based composites, IEEE Trans. Microwave Theory Tech. 59 (2011), pp. 2633–2646.
   Web of Science ®Google Scholar
• Goudos, SK, 2007. A versatile software tool for microwave planar radar absorbing materials design using global optimization algorithms, Mater. Des. 28 (2007), pp. 2585–2595.
   Web of Science ®Google Scholar
• Goudos, SK, 2009. Design of microwave broadband absorbers using a self-adaptive differential evolution algorithm, Int. J. RF Microwave Comput. Aided Eng. 19 (2009), pp. 364–372.
   Web of Science ®Google Scholar
• Dib, N, Asi, M, and Sabbah, A, 2010. On the optimal design of multilayer microwave absorbers, Prog. Electromagn. Res. C. 13 (2010), pp. 171–185.
   Google Scholar
• Asi, MJ, and Dib, NI, 2010. Design of multilayer microwave broadband absorbers using central force optimization, Prog. Electromagn. Res. B. 26 (2010), pp. 101–113.
   Google Scholar
• Micheli, D, Apollo, C, Pastore, R, Barbera, D, Morles, RB, Marchetti, M, Gradoni, G, Primiani, VM, and Moglie, F, 2012. Optimization of multilayer shields made of composite nanostructured materials, IEEE Trans. Electromagn. Compat. 54 (2012), pp. 60–69.
   Web of Science ®Google Scholar
• Deb, K, and Agrawal, RB, 1995. Simulated binary crossover for continuous search space, Complex Syst. 9 (1995), pp. 115–148.
   Google Scholar
• Deb, K, and Goyal, M, 1996. A combined genetic adaptive search (Gene AS) for engineering design, Comput. Sci. Informatics 26 (1996), pp. 30–45.
   Google Scholar
• Deb, K, 2000. An efficient constraint handling method for the genetic algorithm, Comput. Methods Appl. Mech. Eng. 186 (2000), pp. 311–338.
   Web of Science ®Google Scholar
• Zhang, JY, Liang, SY, Yao, J, Chen, JM, and Huang, JL, 2006. Evolutionary optimization of machining processes, J. Intell. Manuf. 17 (2006), pp. 203–215.
   Web of Science ®Google Scholar
• Deep, K, Singh, KP, and Kansal, ML, 2009. A real coded genetic algorithm for solving integer and mixed integer optimization problems, Appl. Math. Comput. 212 (2009), pp. 505–518.
   Web of Science ®Google Scholar
• Gargama, H, Chaturvedi, SK, and Thakur, AK, 2012. On the design and reliability analysis of electromagnetic absorbers using real-coded genetic algorithm and Monte Carlo simulation, Prog. Electromagn. Res. B. 43 (2012), pp. 169–187.
   Google Scholar
• Haldar, A, and Mahadevan, S, 2000. Reliability assessment using stochastic finite element analysis. New York: Wiley; 2000.
   Google Scholar
• Ramu, P, Qu, X, Youn, BD, Haftka, RT, and Choi, KK, 2006. Inverse reliability measures and reliability-based design optimization, Int. J. Reliab. Saf. 1 (2006), pp. 187–205.
   Google Scholar
• Deb, K, Gupta, S, Daum, D, Branke, J, Mall, AK, and Padmanabhan, D, 2009. Reliability based optimization using evolutionary algorithms, IEEE Trans. Evol. Comput. 13 (2009), pp. 1054–1074.
   Web of Science ®Google Scholar
• Foschi, RO, Li, H, and Zhang, J, 2002. Reliability and performance-based design: a computational approach and applications, Struct. Saf. 24 (2002), pp. 205–218.
   Web of Science ®Google Scholar
• Helton, JC, and Davis, FJ, 2003. Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems, Reliab. Eng. Syst. Saf. 81 (2003), pp. 23–69.
   Web of Science ®Google Scholar
• Liao, K-W, and Ha, C, 2008. Application of reliability-based optimization to earth-moving machine: hydraulic cylinder components design process, Struct. Multi. Optim. 36 (2008), pp. 523–536.
   Web of Science ®Google Scholar
• Youn, BD, and Choi, KK, 2004. Selecting probabilistic approaches for reliability-based design optimization, AIAA J. 42 (2004), pp. 124–131.
   Google Scholar
• Qu, X, and Haftka, RT, 2003. Deterministic and reliability-based optimization of composite laminates for cryogenic environments, AIAA J. 41 (2003), pp. 2029–2036.
   Google Scholar
• Lian, Y, and Kim, N-H, 2006. Reliability-based design optimization of a transonic compressor, AIAA J. 44 (2006), pp. 368–375.
   Google Scholar
• Chew, WC, 1995. Waves and fields in inhomogeneous media. New York: IEEE Press; 1995.
   Google Scholar
• Gargama, H, Chaturvedi, SK, and Thakur, AK, 2012. Design and optimization of multilayered electromagnetic shield using a real-coded genetic algorithm, Prog. Electromagn. Res. B. 39 (2012), pp. 241–266.
   Google Scholar
• Weile, DS, Michielssen, E, and Goldberg, DE, 1996. Genetic algorithm design of pareto optimal broadband microwave absorbers, IEEE Trans. Electromagn. Compat. 38 (1996), pp. 518–525.
   Web of Science ®Google Scholar
• Schucany, WR, 2004. Kernel Smoothers: an overview of curve estimators for the first graduate course in nonparametric statistics, Stat. Sci. 19 (2004), pp. 663–675.
   Web of Science ®Google Scholar