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Novel Nature-Derived Intelligent Algorithms and Their Applications in Antenna Optimization
Abstract
With the rapidly developing of wireless communications, their adoption and utilization is increasing swiftly in various contexts. Among others, the issues relevant to antenna optimization are popularly known as the most important research subject for different wireless communications. Nowadays, a large number of studies have been published but spreading in a number of unrelated publishing directions which may hamper the use of such published resources. Furthermore, traditional approaches applied to this topic are normally based on simplified electromagnetic calculations which can only approximate real antenna performance. More recently, nature-inspired intelligent algorithms have become available to investigate antenna characteristics before construction. The advent of these algorithms has allowed different antenna design to be improved using mathematical optimization techniques. These provide us with the motivation of analyzing the existing studies in order to categorize and synthesize them in a meaningful manner.
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