A non-revisiting artificial bee colony algorithm for phased array synthesis

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Abstract

An effective non-revisiting artificial bee colony (NrABC) algorithm based on the paradigm of artificial bee colony (ABC) is developed in this paper. NrABC is applied to tackle the synthesis of phased linear arrays. Pros and cons of NrABC is provided along with a comparison to standard ABC. Binary space partitioning tree structure is used to record history evolutionary information. Non-revisiting scheme assures NrABC keeping good diversity of population. Moreover, scout bee stage is discarded in NrABC which also removes an algorithmic parameter of standard ABC. Three phased array synthesis examples are employed to study the performance of NrABC. It turns out that under the same experimental configuration, NrABC outperforms standard ABC in terms of both solution quality and reliability in repeated runs.

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Zhang, X., & Zhang, X. (2017). A non-revisiting artificial bee colony algorithm for phased array synthesis. Eurasip Journal on Wireless Communications and Networking, 2017(1). https://doi.org/10.1186/s13638-016-0802-2

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