EVOLUTIONARY ALGORITHMS FOR THE AUTOMATIC DESIGN OF MULTIMODE MICROWAVE DIPLEXER TOPOLOGY
Abstract
cluding diplexers, as well as improvement of existing designs, is an important and
urgent task in the field of radio engineering. The dependence of the output parameters of diplexers on their geometric parameters is complex, nonlinear, and multi-extremal.
In addition, the determination of such output parameters as average frequencies and bandwidths for given geometric parameters of the microwave device design is carried out using electrodynamic modeling methods, which are very computationally expensive, which imposes restrictions on the global search algorithms used. This paper discusses algorithms for the automated synthesis of microstrip diplexer designs with adjacent passbands, implemented using dielectric monolithic substrates with both high and low dielectric constant in calculations. This paper discusses algorithms for the automated synthesis of microstrip diplexer designs with adjacent passbands, imple-mented using dielectric monolithic substrates with both high and low dielectric constant in calculations.Microstrip diplexers based on multimode resonators are promising microwave devices, characterized by ease of manufacture and miniature size, in which a significant improvement in the frequency-selective properties is achieved by increasing the number of resonators in them, and expanding their adjacent passbands by using resonators connected between itself electromagnetically and conductively. The possibilities of automated synthesis of these devices using special evolutionary algorithms are considered,
the effectiveness of which has been shown by a computational experiment. In this paper, we consider two types of devices characterized by high computational complexity of their complexity due to required electromagnetic modeling.The modified success rate-based adaptive differential evolution is shown to be capable of finding solutions of sufficient quality with a limited resource and a specially designed target function. The proposed approach can be applied for automatic topology tuning of other microwave devices.
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