Nature–Inspired Metaheuristic Optimization for Control Tuning of Complex Systems by Jesús Garicano-Mena, Matilde Santos

“…The performance of the ALO and WOA techniques for the tuning of conventional PID controllers is evaluated in relation to the number of agents <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>n</mi><mi>S</mi></msub></semantics></math></inline-formula> and the maximum number of iterations <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>n</mi><mrow><mi>M</mi><mi>a</mi><mi>x</mi><mi>I</mi><mi>t</mi><mi>e</mi><mi>r</mi></mrow></msub></semantics></math></inline-formula>; given the stochastic nature of both methods, repeatability is also addressed. …”
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Assessing Basin’s Dynamic Hydrological Characteristics Using Statistical Analysis on Rainfall – River Discharge Observation Data by Steven Reinaldo Rusli, Theo Senjaya

“…The subsequent frequency analysis indicates a trend of increasing rainfall, although it is not followed by the trend in the river discharge variable. Due to the stochastic nature of extreme events occurrence and available data length, we evaluate the dynamic basin’s runoff generation using quasi-synthetic rainfall instead of conventional design storm, to equalize the stimuli (rainfall) in evaluating the target system (basin’s hydrological characteristics). …”
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Effect of eDNA metabarcoding temporal sampling strategies on detection of coastal biodiversity by Maelle Sevellec, Anaïs Lacoursière-Roussel, Eric Normandeau, Louis Bernatchez, Kimberly Lynn Howland

“…However, we have limited knowledge of whether samples collected during discreet temporal periods depict holistic ecosystem changes over longer time spans.MethodsHere, we show how eDNA community structure varies across repeated sampling events at different temporal scales ranging from years to months to days at an Arctic coastal site, Churchill (Canada), using metabarcoding analyses of water eDNA samples with four universal primer pairs (two primers in COI and two in the 18S rRNA).ResultsDaily variations were highly dynamic and less structured, likely due to the stochastic nature of estuarine ecosystems, but there was a clear annual consistency in eDNA communities with a high proportion of shared taxa between years. …”
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Application of Multimedia Quality Evaluation Relying on Intelligent Robot Numerical Control Technology in New Energy Power Generation System by Ruijuan Sun, Xiaoyuan Dang

“…The planned outage condition of the unit, which was ignored by the current stochastic simulation method, has been fully considered to ensure the rationality of the simulation of intelligent robot numerical control technology. …”
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Condensate droplet roaming on nanostructured superhydrophobic surfaces by Cheuk Wing Edmond Lam, Kartik Regulagadda, Matteo Donati, Abinash Tripathy, Gopal Chandra Pal, Chander Shekhar Sharma, Athanasios Milionis, Dimos Poulikakos

“…We quantify and show that it is the inherent asymmetries in droplet adhesion during condensation, arising from the stochastic nature of nucleation within the nanostructures, that generates the tangential momentum driving the roaming motion. …”
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Vulnerability analysis on random matrix theory for power grid with flexible impact loads by Chuan Long, Shengyong Ye, Xinying Zhu, Minghai Xu, Xinting Yang, Yuqi Han, Liyang Liu

“…Abstract The stochastic volatility of the rail transit load brings greater uncertainty to the vulnerability of the power grid. …”
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Enabling In-Depot Automated Routing and Recharging Scheduling for Automated Electric Bus Transit Systems by Lei Wang, Wanjing Ma, Ling Wang, Yongli Ren, Chunhui Yu

“…The multiple random input test suggests that the proposed approach can decide the minimum number of chargers for stochastic charging requests. The proposed method can conserve the investment by increasing the utilization of automated recharging devices, improving vehicles’ in-depot efficiency.…”
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A Correlation Analysis-Based Structural Load Estimation Method for RC Beams Using Machine Vision and Numerical Simulation by Chun Zhang, Yinjie Zhao, Guangyu Wu, Han Wu, Hongli Ding, Jian Yu, Ruoqing Wan

“…The distinct discrepancies between crack images and strain contour figures, coupled with the stochastic nature of actual crack distributions, pose considerable challenges for load estimation tasks. …”
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Optimal Agent Framework: A Novel, Cost-Effective Model Articulation to Fill the Integration Gap between Agent-Based Modeling and Decision-Making by Abolfazl Taghavi, Sharif Khaleghparast, Kourosh Eshghi

“…Moreover, sensitivity analyses on different agent populations, network structures, and marketing strategies have depicted the great potential of OAF to find the optimal strategies in various stochastic and unconventional conditions which have not been addressed prior to the implementation of the framework.…”
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LSTM Recurrent Neural Network-Based Frequency Control Enhancement of the Power System with Electric Vehicles and Demand Management by G. Sundararajan, P. Sivakumar

“…Due to the unpredictable and stochastic nature of renewables, current power networks confront operational issues as renewable energy sources are more widely used. …”
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Evolution of Electoral Preferences for a Regime of Three Political Parties by María Guadalupe Medina Guevara, Héctor Vargas Rodríguez, Pedro Basilio Espinoza Padilla, José Luis Gozález Solís

“…In addition, agents give a certain level of trust (weight) to other agent’s opinions; this results in a positive stochastic matrix of weights which models the social network. …”
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Performance Analysis of Thermal and Surface Roughness Effect of Slider Bearings with Unsteady Fluid Film Lubricant Using Finite Element Method by Girma Desu Tessema, Getachew Adamu Derese, Awoke Andargie Tiruneh

“…One-dimensional transverse and longitudinal surface roughness models were considered with the supposition that roughness is stochastic and has a Gaussian random distribution. For simplicity of numerical computation, the irregularity caused by the texture of the surface is transformed into a regular domain. …”
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Adaptive algorithms for change point detection in financial time series by Alexander Musaev, Dmitry Grigoriev, Maxim Kolosov

“…Traditional statistical methods, grounded in stationary models, are often ill-suited to capture the dynamics of processes governed by stochastic chaos. This paper explores modern approaches to change point detection, focusing on multivariate regression analysis and machine learning techniques. …”
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Preprocessing LOFARgram through U-Net++ neural network by Dan Peng, Xichen Xu, Wenhua Song, Dazhi Gao

“…However, the quality of LOFARgrams often degrades due to the inherent stochasticity of ship noise and the interference of environmental noise. …”
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A Universal MDO Framework Based on the Adaptive Discipline Surrogate Model by Hua Su, Chun-lin Gong, Liang-xian Gu

“…Framework level controls the MDO solving procedure and carries out convergence estimation; architecture level executes the MDO solution method with discipline surrogate models; discipline level analyzes discipline models to establish adaptive discipline surrogate models based on a stochastic asymptotical sampling method. The MDO solving procedure is executed as an iterative way included with discipline surrogate model correcting, MDO solving, and discipline analyzing. …”
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Enhanced grey wolf optimization for maximum power point tracking in photovoltaic systems with hybrid battery-supercapacitor storage by Chirine Benzazah, Najoua Mrabet, Ahmed ElAkkary, Fathallah Rerhrhaye

“…This paper proposes an enhanced Grey Wolf Optimization algorithm integrated with a stochastic Cauchy-Gaussian mutation to improve maximum power point tracking in standalone photovoltaic systems. …”
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Multiscale Time-Frequency Sparse Transformer Based on Partly Interpretable Method for Bearing Fault Diagnosis by Shouquan Che, Jianfeng Lu, Congwang Bao, Caihong Zhang, Yongzhi Liu

“…In the comparison test with other existing CNN, RNN, and transformer models, the diagnosis accuracy of different methods is statistically analysed, feature vectors are presented via the t-distributed stochastic neighbor embedding (t-SNE) method, and the proposed MTFST obtains the best accuracy and feature distribution form. …”
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Reliable Quantized Fuzzy Controller Design for Nonlinear Singularly Perturbed Systems With Markovian Jumps and Dynamic Event Triggered Mechanism by Rabeh Abbassi, Mourad Kchaou, Hamdi Gassara, Houssem Jerbi

“…The proposed approach is based on the following key attributes: 1) An event-triggered mechanism that establishes a suitable condition for independent signal transmission from each sensor node to the controller; 2) A stochastic failure model that describes actuator failures; 3) A non-stationary Markov chain that reflects the asynchronous relationship between the system and controller modes; 4) A mode-dependent Lyapunov function is used to establish sufficient conditions to show that the resultant closed-loop system is stochastically mean-square stable with a <inline-formula> <tex-math notation="LaTeX">$\gamma $ </tex-math></inline-formula> level of <inline-formula> <tex-math notation="LaTeX">$ l_{2}-l_{\infty } $ </tex-math></inline-formula> performance index; 5) The theoretical findings are validated by a real numerical example of the Van Der Pol circuit, confirming the effectiveness of the proposed strategy.…”
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A multidimensional approach to quantum state tomography of photoelectron wavepackets by H. Laurell, J. Baños-Gutiérrez, A. L’Huillier, D. Busto, D. Finkelstein-Shapiro

“…Abstract There is a growing interest in reconstructing the density matrix of photoelectron wavepackets, in particular in complex systems where decoherence can be introduced either by a partial measurement of the system or through coupling with a stochastic environment. To this end, several methods to reconstruct the density matrix, quantum state tomography protocols, have been developed and tested on photoelectrons ejected from noble gases following absorption of extreme ultraviolet (XUV) photons from attosecond pulses. …”
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The landscape of nucleotide diversity in Drosophila melanogaster is shaped by mutation rate variation by Barroso, Gustavo V, Dutheil, Julien Y

“…Attempts to answer this question have sparked debate about the roles of neutral stochastic processes and natural selection in molecular evolution. …”
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