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By using the time modulation technique in antenna arrays, the stringent requirements on excitation error tolerance can be relaxed. However, the sideband signals spaced at multiples of the modulation frequency need to be suppressed in some applications. Multiobjective optimization is an important tool in the design of arrays with conflicting goals, such as low sidelobe level, low sideband level, and...
This paper proposes a planning strategy of distribution static compensator (DSTATCOM) in unbalanced radial distribution systems for optimal DSTATCOM placement and rating. A popular metaheuristic algorithm called differential evolution is used to minimize various objective functions such as total system power loss, total zero sequence voltage unbalance, and total negative‐sequence voltage unbalance...
In this study, the bandwidth of the rectangular microstrip antenna is improved by using a new integrated technique consisting of a novel hybrid optimization algorithm (HOA) and HyperLynx® 3D electromagnetic platform based on the method of moments (MoM). The novel HOA is developed by integrating the powerful mutation and crossover strategies of the differential evolution algorithm with onlooker bee...
In this paper, evolutionary extreme learning machine (E‐ELM) is first introduced for RF power amplifiers (PAs) behavioral modeling. This approach combined differential evolution (DE) and extreme learning machine (ELM) to effectively solve the problem that more neurons of hidden layer are required, and repeated trials are necessary in behavioral modeling PAs by conventional ELM. As revealed in the...
In this study, a method based on surrogate model (SM) for computational analysis of antenna parameters such as the resonant frequency (RF) and bandwidth (BW) is presented. Moreover, it is attempted to optimize the SM using evolutionary optimization algorithms in order to further improve the accuracy of the SM. In the conventional computational approaches, the weighting vectors of the SM have been...
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