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In the paper, antenna array optimization by means of an enhanced surrogate model-aware evolutionary search (SMAS) framework is presented. The enhancements aim at improving local optimization capabilities of SMAS. The local search engine, exploiting a surrogate assisted trust-region-based local search algorithm ORBIT is launched to fine-tune the solutions generated by SMAS to further decrease the optimization...
After a short review on the key-stones of EA-based approaches for electromagnetic engineering, this paper is aimed at analyzing current limitations of EAs for successively giving an overview on some EA-advances for enabling their effective and reliable application to EM problems concerned with the synthesis of systems and devices.
This paper is aimed at analyzing and discussing the key-role of the evolutionary optimization in EM device synthesis carried out within the recently developed System-by-Design paradigm. Towards this end, SbD models the design process as an eco-system of functional blocks (for the synthesis/analysis of each sub-part of the overall complex system) suitably connected to enable different trade-off solutions...
This paper deals with the design of beam-forming networks (BFNs) using coherently radiating periodic structures (CORPS) for a planar array. This design of feeding networks using the principles of CORPS considers the optimization of the complex inputs of the network by using the well-known method of genetic algorithms (GA). Some results obtained by simulation for a CORPS network of certain configuration...
The design and optimization of a Yagi array of miniaturized monopoles top-loaded with Peano space-filling curves was presented. Unlike conventional Yagi arrays of dipoles and monopoles, the design of a Yagi-PTLM array requires the use of evolutionary programming (EP) optimization in order to determine the inter element spacing, element heights, and Peano top-load sizes for an array design with sufficient...
In this work, the authors investigate the efficiency of an evolutionary optimization approach that incorporates swarm directions in standard EP algorithm. Our hybrid EP-PSO approach is inspired by the work for test-function optimization. However, the authors have also investigated the use of various mutation operators in the hybrid EP-PSO technique. The technique is applied to two antenna problems:...
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