Multi objective linear array synthesis using differential evolution and modified invasive weed optimization techniques

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Abstract

A radiation pattern synthesis methods based on the ecological inspired equations is proposed for linear antenna arrays. The amplitude weights of the elements are optimized by heuristic evolutionary tools like Differential Evolution (DE) and Invasive weed optimization to maintain a multi objective specified pattern. The characteristics of the two algorithms are explored by experimenting on a multi task fitness function. The simulation study claims that the DE is arguably a powerful tool in terms of computational time. This paper provides a comprehensive coverage and comparative study of the two above said algorithms, focusing on the pattern synthesis.

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Lalitha Manohar, G., Praveen Kumar, A. T., & Subhashini, K. R. (2014). Multi objective linear array synthesis using differential evolution and modified invasive weed optimization techniques. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 117, 131–136. https://doi.org/10.1007/978-3-319-11629-7_19

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