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Antenna Array Synthesis with Evolutionary Algorithms

  • Ernesto Sanchez
  • Giovanni Squillero
  • Alberto Tonda
Part of the Intelligent Systems Reference Library book series (ISRL, volume 34)

Abstract

This chapter describes an evolutionary approach to the optimization of element antenna arrays. Classic manual or automatic optimization methods do not always yield satisfactory results, being either too labour-intensive or unsuitable for some specific class of problems. The advantage of using an evolutionary approach is twofold: on the one hand it does not introduce any arbitrary assumptions about what kind of solution shows the best promise; on the other hand, being intrinsically non-deterministic, it allows the whole process to be repeated in search of better solutions. A generic evolutionary tool originally developed for a totally different application area, namely test program generation for microprocessors, is employed for the optimization process. The results show both the versatility of the tool (it is able to autonomously choose the number of array elements) and the validity of the evolutionary approach for this specific problem.

The experience described in this chapter has been presented in [101].

Keywords

Evolutionary Algorithm Evolutionary Method Evolutionary Approach Genetic Operator Shaped Beam 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Ernesto Sanchez
    • Giovanni Squillero
      • Alberto Tonda

        There are no affiliations available

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