Abstract
This work deals with the design of new shielding materials for the protection of electrical devices. Since there are many different requirements for modern materials, we have chosen a multi-objective approach to this problem. As material under consideration we chose conducting polymer composites due to their excellent electromagnetic properties in the microwave band and their high potential for the optimization process. In this paper, we start this process with the formulation of a novel model, deal further with the approximation of these solution sets, and finally consider the decision support related to this problem.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Cahon, S., Melab, N., Talbi, E-G.: ParadisEO: a framework for metaheuristics. In: International Workshop on Optimization Frameworks for Industrial Applications (ICOPI 2005), October 2005 (2005)
Chelouah, R., Siarry, P.: A continuous genetic algorithm designed for the global optimization of multimodal functions. Journal of Heuristics 6(2), 191–213 (2000)
Coello Coello, C.A., Van Veldhuizen, D.A., Lamont, G.B.: Evolutionary Algorithms for Solving Multi-Objective Problems. Kluwer Academic Publishers, Dordrecht (2002)
Colaneri, N.F., Shacklette, L.W.: EMI shielding measurements of conductive polymer blends. IEEE transactions on instrumentation and measurement 4(2), 291–297 (1992)
Deb, K.: Multi-Objective Optimization Using Evolutionary Algorithms. Wiley, Chichester (2001)
Dellnitz, M., Hohmann, A.: A subdivision algorithm for the computation of unstable manifolds and global attractors. Numerische Mathematik 75, 293–317 (1997)
Dellnitz, M., Schütze, O., Hestermeyer, T.: Covering Pareto sets by multilevel subdivision techniques. Journal of Optimization Theory and Applications 124, 113–155 (2005)
Duff, W.G.: A handbook series of electromagnetic interference and compatibility, Fundamentals of electromagnetic compatibility. vol. 1 Interference Control Technologies. Gainesville (VA) (1998)
Hoang, N.N.: Réalisation et caractérisation de structure composite polyaniline-polyuréthane dans le domaine de micro-ondes. Modélisation et optimisation de blindage électromagnétique multicouche en utilisant un algorithme génétique. PhD thesis, Ecole Doctorale Des Sciences Physiques et de l’Ingenieur. Université de Bordeaux 1, France (2005)
Hoang, N.N., Wojkiewicz, J.-L., Biscaro, R.S.: Genetic algorithm applied to the optimisation of the electromagnetic properties of conducting polymer composites in the microwave band. In: Proceedings of ICMS’05 (2005)
Hoang, N.N., Wojkiewicz, J-L., Miane, J-L.: Optimization of electromagnetic shielding effectiveness of composites. In: 8th International Workshop on Optimization and Inverse Problem in Electromagnetism IOPE 2004, pp. 61–62 (2004)
Kaiser, B.: Principles of Electromagnetic Compatibility. Artech House, Norwood (1987)
Keijzer, M., Merelo, J.J., Romero, G., Schoenauer, M.: Evolving Objects: a general purpose evolutionary computation library. In: 5. conférence internationale sur l’Évolution Artificielle (EA’01), October 2001 (2001)
Legrand, T.: Algorithmes génet́iques et composites conducteurs. Master’s thesis, Polytech Lille, France (2006), http://www2.lifl.fr/OPAC/index.php?page=Publications/publiRec
Lotov, A., Bushenkov, V.A., Kamenev, G.: Interactive Decision Maps. Approximation and Visualization of Pareto Frontier. Kluwer Academic Publishers, Dordrecht (2004)
Miettinen, K.: Nonlinear Multiobjective Optimization. Kluwer Academic Publishers, Dordrecht (1999)
Naishadham, K.: Shielding effectiveness of conductive polymers. IEEE Transaction on Electromagnetic Compatibility 34(1), 47–50 (1992)
Schütze, O.: Set Oriented Methods for Global Optimization. PhD thesis, University of Paderborn, (2004), http://ubdata.uni-paderborn.de/ediss/17/2004/schuetze/
Schütze, O., Mostaghim, S., Dellnitz, M., Teich, J.: Covering Pareto sets by multilevel evolutionary subdivision techniques. In: Fonseca, C.M., Fleming, P.J., Zitzler, E., Deb, K., Thiele, L. (eds.) EMO 2003. LNCS, vol. 2632, Springer, Heidelberg (2003)
Srinivas, N., Deb, K.: Multiobjective optimization using nondominated sorting in genetic algorithms. Evolutionary Computation 2(3), 221–248 (1994)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer Berlin Heidelberg
About this paper
Cite this paper
Schütze, O., Jourdan, L., Legrand, T., Talbi, EG., Wojkiewicz, J.L. (2007). A Multi-objective Approach to the Design of Conducting Polymer Composites for Electromagnetic Shielding. In: Obayashi, S., Deb, K., Poloni, C., Hiroyasu, T., Murata, T. (eds) Evolutionary Multi-Criterion Optimization. EMO 2007. Lecture Notes in Computer Science, vol 4403. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70928-2_45
Download citation
DOI: https://doi.org/10.1007/978-3-540-70928-2_45
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-70927-5
Online ISBN: 978-3-540-70928-2
eBook Packages: Computer ScienceComputer Science (R0)