A nonlinear dynamic hysteresis model and dynamic performance of the piezoelectric ring bending actuator by Yuesong Li, Bang Wang

“…Second, an improved model of the piezoelectric ring bending actuator was developed based on the Bouc–Wen model, and its parameters were identified by the particle swarm optimization algorithm. Third, an equivalent dynamic model of mechanical transmission is established, and its nonlinear hysteresis dynamic model is established by combining the improved model. …”
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Optimized planning of electric vehicle charging infrastructure for grid performance improvement by Mohammad Reza Maghami, Ka Fei Thang, Arthur G. O. Mutambara, Ali Akbar Firoozi, Elnaz Yaghoubi, Mehdi Zareian Jahromi, Elaheh Yaghoubi

“…This paper presents a multi-objective optimization framework developed using particle swarm optimization (PSO) algorithm to determine optimal placement and capacity of EV charging infrastructures. …”
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A Novel Weighted Fractional GM(1,1) Model and Its Applications by Qin-Qin Shen, Quan Shi, Tian-Pei Tang, Lin-Quan Yao

“…In practice, the quantum particle swarm optimization algorithm is adopted to choose the quasi-optimal parameters for the new model so as to get the best fitting accuracy. …”
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Strongly Bound Frenkel Excitons on TiO2 Nanoparticles: An Evolutionary and DFT Approach by Oscar Olvera-Neria, Raúl García-Cruz, Julio Gonzalez-Torres, Luz María García-Cruz, Jean Luis Castillo-Sánchez, Enrique Poulain

“…An evolutionary algorithm was employed to locate the global minimum of TiO2n nanoparticles with n=2–20. …”
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A Three-Dimensional Nonlinear Dynamic Numerical Optimization of the Risks of Stope Blasting Based on FOA-GRNN by Chengyu Xie, Jie Cao, Dongping Shi

“…The fruit fly optimization algorithm-general regression neural network (FOA-GRNN) coupled model and the Finite Element Method-Smoothed Particle Hydrodynamics (FEM-SPH) numerical calculation method are comprehensively used. …”
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An OFDM Signal Enhancement and Demodulation Method Based on Segmented Asymmetric Bistable Stochastic Resonance by Gaohui Liu, Xiaqiang Chu

“…The SABSR system is then applied to OFDM signal enhancement and demodulation, with SNR gain used as the optimization metric. The quantum particle swarm optimization algorithm is employed to fine-tune system parameters. …”
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Machine Learning-Assisted Hartree–Fock Approach for Energy Level Calculations in the Neutral Ytterbium Atom by Kaichen Ma, Chen Yang, Junyao Zhang, Yunfei Li, Gang Jiang, Junjie Chai

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Classification of Metallic Powder Morphology Using Traditional and Automated Static Image Analysis: A Comparative Study by Cindy Charbonneau, Fabrice Bernier, Étienne Perrault, Roger Pelletier, Louis-Philippe Lefebvre

“…The results from shape descriptors can vary based on image resolution, gray/color thresholding, and software algorithms. There are various commercial systems available for characterizing particle shape, some of which use images taken of static particles, while others use images of particles in motion. …”
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Spatial Differentiation Mechanism of Urban Housing Prices from the Perspective of Amenity: A Case Study of Nanjing by Guangyuan Feng, Xiaopu Bi, Jingxiang Zhang, Tianhan Cheng

“…The findings revealed that amenity factors have a positive impact on housing prices, with artificial amenity as the most influential. Partial amenity factors demonstrated nonlinear relationships with housing prices with obvious threshold effects. …”
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Validation and simulation of a regulated survey system through Monte Carlo techniques by Asier Lacasta Soto, M. Morales-Hernández, M. Tejero-Juste, J. Burguete, P. Brufau, P. García-Navarro

“…The dynamics of this kind of flow is governed by a partial differential equations system<br />named shallow water model. …”
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Trainable embedding quantum physics informed neural networks for solving nonlinear PDEs by Stefan Berger, Norbert Hosters, Matthias Möller

“…Abstract This paper proposes a novel approach for solving nonlinear partial differential equations (PDEs) with a quantum computer, the trainable embedding quantum physics informed neural network (TE-QPINN). …”
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A multi-agent reinforcement learning approach for continuous battery cell-level balancing by Yasaman Tavakol-Moghaddam, Mehrdad Boroushaki

“…Trained with the trust region policy optimization (TRPO) algorithm, the approach ensures stability and partial observability. …”
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An efficient technique to study of time fractional Whitham–Broer–Kaup equations by Nishant Bhatnagar, Kanak Modi, Lokesh Kumar Yadav, Ravi Shanker Dubey

“…The method’s novelty and straightforward implementation establish it as a reliable and efficient analytical technique for solving both linear and nonlinear fractional partial differential equations.…”
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POA optimized VGG16-SVM architecture for severity level classification of Ascochyta blight of chickpea by Melaku Bitew Haile, Abebech Jenber Belay

“…If Ascochyta rabies is not managed, its effects on chickpea output could be either partial or complete under favourable environmental conditions. …”
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Characterization of Moisture Diffusion in Cured Concrete Slabs at Early Ages by Xiao Zhang, Hongduo Zhao

“…Model parameters are calibrated by a genetic algorithm (GA). Experimental results show that the RH reducing rate inside concrete under air curing is greater than the rates under membrane-forming compound curing and water curing. …”
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Adaptive Boundary Control of Flexible Manipulators with Parameter Uncertainty Based on RBF Neural Network by Cang He, Fang Zhang, Jinhui Jiang

“…The obtained model consists of both distributed parameters and lumped parameters, namely, partial differential equations (PDEs) governing the flexible motion of links and boundary conditions in the form of ordinary differential equations (ODEs). …”
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Multi-Robot System for Cooperative Tidying Up with Mobile Manipulators and Transport Agents by Jae-Bong Yi, Shady Nasrat, Dongwoon Song, Joonyoung Kim, Seung-Joon Yi

“…Additionally, rather than generating a full trajectory from start to end, the system plans partial trajectories, allowing dynamic re-pairing of transport agents through an auction algorithm. …”
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Region Space Guided Transfer Function Design for Nonlinear Neural Network Augmented Image Visualization by Fei Yang, Xiangxu Meng, JiYing Lang, Weigang Lu, Lei Liu

“…Finally, the volume rendering pipeline with ray-casting algorithm is implemented to visualize several biomedical datasets. …”
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Stochastic Production Planning with Regime-Switching: Sensitivity Analysis, Optimal Control, and Numerical Implementation by Dragos-Patru Covei

“…The production and inventory cost optimization problem is formulated as a quadratic cost functional, with the solution characterized by a regime-dependent system of elliptic partial differential equations (PDEs). Numerical solutions to the PDE system are computed using a monotone iteration algorithm, enabling quantitative analysis. …”
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Multibranch semantic image segmentation model based on edge optimization and category perception. by Zhuolin Yang, Zhen Cao, Jianfang Cao, Zhiqiang Chen, Cunhe Peng

“…Finally, an edge optimization module is used to integrate the edge features into the middle and the deep supervision layers of the network through an adaptive algorithm to enhance its ability to express edge features and optimize the edge segmentation effect. …”
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