Exponential particle swarm optimization for global optimization
Nature-inspired metaheuristics have been extensively investigated to solve challenging
optimization problems. Particle Swarm Optimization (PSO) is one of the most famous nature …
optimization problems. Particle Swarm Optimization (PSO) is one of the most famous nature …
Design of a compact GaN power amplifier with high efficiency and beyond decade bandwidth
H Zhou, JR Perez-Cisneros, B Langborn… - IEEE Microwave and …, 2022 - ieeexplore.ieee.org
This letter presents a power amplifier (PA) design and network synthesis approach to
achieve wideband and efficient performance with a very compact circuit size. A design …
achieve wideband and efficient performance with a very compact circuit size. A design …
On the sizing of CMOS operational amplifiers by applying many-objective optimization algorithms
MA Valencia-Ponce, E Tlelo-Cuautle, LG de la Fraga - Electronics, 2021 - mdpi.com
In CMOS integrated circuit (IC) design, operational amplifiers are one of the most useful
active devices to enhance applications in analog signal processing, signal conditioning and …
active devices to enhance applications in analog signal processing, signal conditioning and …
Simulated annealing particle swarm optimization for a dual-input broadband GaN Doherty like load-modulated balance amplifier design
H Liu, C Li, S He, W Shi, Y Chen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this brief, an automatic power amplifier (PA) design system based on simulated annealing
particle swarm optimization (SA-PSO) algorithm is proposed to perform multi-objective …
particle swarm optimization (SA-PSO) algorithm is proposed to perform multi-objective …
A Survey on Smart Optimisation Techniques for 6G-oriented Integrated Circuits Design
With the rapid development of next-generation wireless communications, there is a growing
demand for high-quality integrated circuits (ICs), particularly analog ICs, which play a pivotal …
demand for high-quality integrated circuits (ICs), particularly analog ICs, which play a pivotal …
Multiobjective Bayesian optimization for a 15‐dB back‐off high‐efficiency load modulated balanced amplifier design
In this article, multiobjecive Bayesian optimization (MBO) with a non‐penalization strategy is
proposed to design a 15‐dB back‐off high‐efficiency load modulated balanced amplifier …
proposed to design a 15‐dB back‐off high‐efficiency load modulated balanced amplifier …
A design of adaptive genetic algorithm-based optimized power amplifier for 5G applications
In this paper, a novel adaptive genetic algorithm (AGA) is presented for the optimization
goals. The presented AGA is discussed and implemented on a power amplifier (PA), which …
goals. The presented AGA is discussed and implemented on a power amplifier (PA), which …
Stability analysis and control parameter optimization of multi-VSG parallel grid-connected system
J Lin, S Liu, G Wang - Electric Power Systems Research, 2023 - Elsevier
The virtual synchronous generator (VSG) is emerging as an attractive solution for controlling
the grid-connected inverter when the renewable energy has a high penetration level into the …
the grid-connected inverter when the renewable energy has a high penetration level into the …
A morphing wing with cellular structure of non-uniform density
H Zhang, Z Zhang, C Song, C Yang - Smart Materials and …, 2021 - iopscience.iop.org
This paper proposes an optimization design method for the modular cellular structure of non-
uniform density, which is filled into the morphing wing to generate variable torsion angle. By …
uniform density, which is filled into the morphing wing to generate variable torsion angle. By …
Trade-off-oriented impedance optimization of chiplet-based 2.5-D integrated circuits with a hybrid MDP algorithm for noise elimination
Interposer and chiplet-based 2.5-D integrated circuit (IC) designs have become a new trend
for block-level heterogeneous integration. In this paper, a new hybrid metaheuristic …
for block-level heterogeneous integration. In this paper, a new hybrid metaheuristic …