Abstract
Design of EM components is usually very demanding task. It comprises setting of large number of variables. With increasing number of variables, the number of possible combinations increases exponentially. Therefore, the use of global stochastic optimizers became essential. Use of multi-objective optimizers such as MOSOMA (Multi-Objective Self-Organizing Migrating Algorithm) gives the user extra knowledge about the solved problem and its contradictory requirements. In this chapter, applications of MOSOMA for solution of problems from electromagnetics are first briefly reviewed. Then, three applications are discussed more in detail: design of Yagi-Uda antenna array, design of dielectric layered filter and control of adaptive beamforming in time domain of slotted antenna array. Results of MOSOMA are compared with previously published solutions. The possibility how to treat problems having discrete decision space is discussed here.
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Acknowledgements
Research described in this chapter was financially supported by Czech Science Foundation under grant no. P102/12/1274. Support of projects SIX CZ.1.05/2.1.00/03.0072 is also gratefully acknowledged.
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Kadlec, P., Raida, Z. (2016). Multi-objective Design of EM Components. In: Davendra, D., Zelinka, I. (eds) Self-Organizing Migrating Algorithm. Studies in Computational Intelligence, vol 626. Springer, Cham. https://doi.org/10.1007/978-3-319-28161-2_5
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DOI: https://doi.org/10.1007/978-3-319-28161-2_5
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