IWOA-LSTM based intrinsic structural identification of steel fiber concrete by Ping Li, Jie Feng, Shiwei Duan

“…In order to accurately identify the high-temperature constitutive model taking into account the damage evolution, a high-temperature constitutive identification model using the Improved Whale Algorithm (IWOA) optimised Long Short-Term Memory (LSTM) neural network is presented. …”
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Multi-scenario analysis of green water resource efficiency under carbon emission constraints in the Chengdu-Chongqing urban agglomeration, China: A system dynamics approach by Keyao Yu, Zhigang Li

“…This study examines the dynamic evolution of green water resource efficiency (GWRE) under carbon emission constraints in Chengdu-Chongqing urban agglomeration (CCUA) from 2005 to 2021 by Super SBM-DEA algorithm. …”
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Meshless Numerical Simulation on Dry Shrinkage Cracking of Concrete Piles for Offshore Wind Power Turbine by Cong Hu, Jianfeng Xue, Taicheng Li, Haiying Mao, Haotian Chang, Wenbing Zhang

“…However, the fundamental mechanism of concrete pile cracking during dry shrinkage—particularly the coupled effects of moisture diffusion, meso-structural heterogeneity, and stress evolution—remains poorly understood, lacking a unified theoretical framework. …”
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Numerical analysis of pressure-dependent characteristics of gas diffusion coefficient based on a bidisperse diffusion model by Xiaojun FENG, Shishi DENG, Quanlin LIU, Enyuan WANG

“…By introducing the pressure-dependent diffusion coefficient, a pressure-dependent bidisperse diffusion model (EPBDM) was established, and particle swarm optimization algorithm was combined. The pressure-dependent diffusion coefficients of large and small holes are inverted; the pressure-dependent characteristics and spatio-temporal evolution of the diffusion coefficients are analyzed through numerical simulation and comparison with the model. …”
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A systematic improvement of the high-quality temperature field reconstruction for acoustic pyrometry by Jingkao Tan, Na Li, Qulan Zhou, Yanyuan Hu, Lehang Chen, Zhongquan Gao, Jie Zhou

“…We used multiple means of improvement to improve the reconstruction performance of AP in a gradual and systematic manner. The fast finite-difference shooting method, the adaptive grid evolution strategy (AGES) and the radial basis function approximation with polynomial reproduction (RBFPR) were proposed and integrated into the sequential process optimization approach we concluded to systematically improve the reconstruction performance over the initial algorithm. …”
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Quantum coherence and counterdiabatic quantum computing by Josue R Huerta-Ruiz, Maximiliano Araya-Gaete, Diego Tancara, Enrique Solano, Nancy Barraza, Francisco Albarrán-Arriagada

“…We show that large quantum coherence also means large energy fluctuation during evolution, which is associated with the speed of evolution, paving the way for designing superior algorithms in CQC.…”
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Many-Objective Truss Structural Optimization Considering Dynamic and Stability Behaviors by João Marcos P. Vieira, José Pedro G. Carvalho, Dênis E. C. Vargas, Érica C. R. Carvalho, Patrícia H. Hallak, Afonso C. C. Lemonge

“…The methodology involves the finite element method (FEM) to obtain the objective functions and constraints and multi-objective evolutionary algorithms (MOEAs) based on differential evolution to solve the MOSOPs analyzed in this study. …”
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A synergic quantum particle swarm optimisation for constrained combinatorial test generation by Xu Guo, Xiaoyu Song, Jian‐tao Zhou

“…Besides, the QPIO method enriches the application of the QPSO algorithm in the context of CT.…”
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Optimization-Based Downscaling of Satellite-Derived Isotropic Broadband Albedo to High Resolution by Niko Lukač, Domen Mongus, Marko Bizjak

“…Next, the Differential Evolution (DE) optimization algorithm is applied to approximate albedo values to these segments so that their spatial aggregate matches the coarse-resolution satellite albedo, by proposing two novel objective functions. …”
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Network security threat warning method based on qualitative differential game by Shirui HUANG, Hengwei ZHANG, Jindong WANG, Ruiyu DOU

“…Most current network security research based on game theory adopts the static game or multi-stage dynamic game model,which does not accord with the real-time change and continuity of the actual network attack-defense process.To make security threats warning more consistent with the attack-defense process,the threat propagation process was analyzed referring to the epidemic model.Then the network attack-defense game model was constructed based on the qualitative differential game theory,by which the evolution of the network security state could be predicted.Based on the model,the qualitative differential game solution method was designed to construct the attack-defense barrier and divide the capture area.Furthermore,the threat severity in different security states were evaluated by introducing multidimensional Euclidean distance.By designing the warning algorithm,the dynamic warning of the network security threat was realized,which had better accuracy and timeliness.Finally,simulation results verify the effectiveness of the proposed algorithm and model.…”
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calibrar: An R package for fitting complex ecological models by Ricardo Oliveros‐Ramos, Yunne‐Jai Shin

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The study of thermodynamic mechanisms of advection-cooled sea fogs for two cases based on the WRF model by Xin-Ya Ye, Fei-Fei Shen, Fei-Fei Shen, Fei-Fei Shen, Hai-Yan Fei, Qi-Long Sun, Ai-Qing Shu, Shen Wan, He Chen

“…In terms of fog prediction, the FSL algorithm outperformed SW99 in estimating fog coverage, although both had limitations in accurately predicting visibility levels.DiscussionThis comparative analysis highlights the influence of differing synoptic and mesoscale conditions on the formation and evolution of advection-cooled sea fog. …”
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An Industrial Internet Security Assessment Model Based on a Selectable Confidence Rule Base by Qingqing Yang, Shiming Li, Yuhe Wang, Guoxing Li, Yanbin Yuan

“…Then, in combination with the Selection covariance matrix adaptive evolution strategy (S-CMA-ES) algorithm, a parameter optimization method for the BRB-s model is designed, which expands the selective constraints on expert knowledge. …”
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Autonomous Robotic Path Planning Based on the Gaussian Mixture Model in Complex Manufacturing Environment by Rui Sun, Yuanmin Wang, Wenzheng Zhao, Yinhua Liu

“…To solve this problem, this paper proposes a path segment directed evolution algorithm (PSDEA) based on the Gaussian mixture model and a heuristic optimization algorithm. …”
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Characteristics of Eddy Dissipation Rates in Atmosphere Boundary Layer Using Doppler Lidar by Yufei Chu, Guo Lin, Min Deng, Zhien Wang

“…Building upon prior research utilizing Doppler lidar wind-field data, we optimized the EDR retrieval algorithm using a genetic adaptive approach. The newly developed algorithm demonstrates enhanced accuracy in EDR estimation. …”
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A Hybrid Whale Optimization Approach for Fast-Convergence Global Optimization by Athanasios Koulianos, Antonios Litke, Nikolaos K. Papadakis

“…An Orthogonal Experimental Design (OED) analysis was employed to fine-tune the algorithm’s parameters. LWOATS was tested against three different algorithm sets: fundamental algorithms, advanced Differential Evolution (DE) variants, and improved WOA variants. …”
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Optimization of Low-Carbon Technology Adoption Decision for Generation Enterprises Considering Cost Uncertainty by Qinliang TAN, Jiaming HE, Hanyu LV, Yihong DING

“…The effectiveness of the proposed model is verified by comparing the evolution of the power generation company's power structure under different scenarios, which can provide valuable insights for power generation companies adopting low-carbon technologies.…”
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Volcanic Activity Classification Through Semi-Supervised Learning Applied to Satellite Radiance Time Series by Francesco Spina, Giuseppe Bilotta, Annalisa Cappello, Marco Spina, Francesco Zuccarello, Gaetana Ganci

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Elastoplastic constitutive model considering the filling and cementation effects for gas hydrate-bearing sediments: development and finite element implementation by Qingmeng Yuan, Qingmeng Yuan, Qingmeng Yuan, Qianyong Liang, Qianyong Liang, Jinqiang Liang, Jinqiang Liang, Zhigang Wang, Zhigang Wang, Lin Yang, Lin Yang, Xuemin Wu, Xuemin Wu, Binbin Guo, Binbin Guo, Yifei Dong, Yifei Dong

“…Dynamic evolution of hydrate filling and cementation effects significantly affects the mechanical behavior of gas hydrate-bearing sediments (GHBS). …”
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Landscape Design Methodology: Pattern formation through the use of Cellular Automata by Sergi Abellán Sanfélix, Marcel Bilurbina Camps, Marilena Christodoulou

“…The purpose of this study is to develop a landscape design methodology based on the use of a Cellular Automaton (CA) algorithm in order to introduce the plant-plant interaction factor in the plantating design of a site. …”
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