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The Ultra-Wideband (UWB) antenna, as core device in high-speed wireless communication, is widely applied to cell phones, wireless internet, internet of things, and almost all kinds of hand-held and wearable mobile communication equipments. Faced with a plethora of constraints, such as compact size, low power consumption, high bandwidth, and cost-effective manufacture, etc., the design of UWB antenna...
Particle Swarm Optimization (PSO) has proved to be an effective global optimization in recent years. However, PSO still suffers from the prematurity to local optima. In order to solve this disadvantage, researches have carried out by combination with other optimizers. In recent years, a local optimization called Extremal Optimization (EO) has been introduced into PSO and gain improvements. Although,...
The minimum rectilinear Steiner tree (MRST) problem is an NP-hard problem, which is one of the fundamental issues in electronic design automation (EDA). Particle swarm optimization (PSO) has been proved to be an efficient intelligent algorithm for optimization designs. This paper presents an application of discrete particle swarm optimization (DPSO) for resolving MRST in VLSI routing and proposes...
The particle swarm optimization algorithm (PSO) has successfully been applied to many engineering optimization problems. However, the most of existing improved PSO algorithms work well only for small-scale problems on low-dimensional space. In this new self-adaptive PSO, a special function, which is defined in terms of the particle fitness, swarm size and the dimension size of solution space, is introduced...
The particle swarm optimization algorithm (PSO) has successfully been applied to many engineering optimization problems. However, most of the existing improved PSO algorithms work well only for small-scale problems. In this new self-adaptive PSO, a special function, which is defined in terms of the particle fitness and swarm size, is introduced to adjust the inertia weight adaptively. In a given generation,...
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