Revising Common Approaches for Calibration: Insights From a 1‐D Tracer‐Aided Hydrological Model With High‐Dimensional Parameters and Objectives by Songjun Wu, Doerthe Tetzlaff, Chris Soulsby

“…In this study, two common philosophies for multi‐objective optimisation in hydrology (the use of aggregated scalar criterion or vector functions) were revisited with different sampling strategies: (a) random sampling, (b) DiffeRential Evolution Adaptive Metropolis (DREAM as an example of an aggregated scalar function), and (c) Non‐Dominated Sorting Genetic Algorithm II (NSGA‐II as Pareto‐based multi‐objective optimisation). …”
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Optimization of the Raman spectroscopic method for crystal orientation and residual stress of aluminum oxide by Miaoxia Xie, Chengyu Xiang, Xueliang Zeng, Xuesu Zhang, Linjie Zhang, Jiangtao Xiong

“…Then, the number of Raman peak shifts needed for solving equations was reduced to three by studying the simplification method of stress fields, exploring the Raman selection method, and introducing the differential evolution algorithm. In this way, the method that can calculate the residual stress in the absence of peaks in Raman spectroscopic tests was proposed. …”
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Digital twin and contact analysis of ultra-long distance coiled tubing operation structures [version 2; peer review: 1 approved, 2 approved with reservations] by Wenlan Wei, Jiarui Cheng, Hao Qu, Maliang Wang, Wenyuan Wang

“…On this basis, a feedback-corrected contact algorithm is introduced to dynamically identify and correct the contact state of continuous tubing under different downhole running trajectories. …”
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Dermatoscopic Criteria of Non-pigmented Basal Cell Carcinoma by Kiladze N., Shulaia T., Bulinska A., Abrahamovych L.

“…Despite the fact that the characteristic manifestations of BCC are fairly typical, different clinical sub-varieties can vary greatly and require extended differential diagnosis. …”
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Parameter Identification and Linear Model of Giant Magnetostrictive Vibrator by Anming Wang, Jianjun Meng, Ruxun Xu, Decang Li

“…Therefore, the immune genetic algorithm (IGA) is applied in the identification of the five parameters of the Jiles–Atherton model and it showed a higher stability compared with the identification result of the differential evolution algorithm (DEA). …”
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Modeling and Optimization of Stochastic Joint Replenishment and Delivery Scheduling Problem with Uncertain Costs by Lin Wang, Hui Qu, Yanhui Li, Jing He

“…To find optimal coordinated decisions, a modified adaptive differential evolution algorithm (MADE) is utilized to find the minimum long-run average total cost. …”
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A New Methodology for Multiscale Myocardial Deformation and Strain Analysis Based on Tagging MRI by Luc Florack, Hans van Assen

“…Time evolution of the deformation tensor is governed by a first-order ordinary differential equation, which is completely determined by this velocity gradient tensor field. …”
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Water Cycle Optimization based Frequency Regulator for Electrical Power System Stability by Naga Sai Kalyan Ch., Anand Kumar K., Manohar P., Babu N.N.V. Surendra, Goud B. Srikanth

“…However, the efficacy of WCO is demonstrated with the squirrel search algorithm and differential evolution approaches. Moreover, the DAMSPS is deliberated with the constraints of practicality, and the significance of communication time delays (CTDs) is examined. …”
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Dynamic Path Planning Method for Unmanned Surface Vessels in Complex Traffic Conditions of Island Reefs Waters by Jing Peng, Xinyuan Zhao, Qi Zhao

“…Unmanned Surface Vehicles (USVs) operating in complex traffic conditions in island reef waters often require different types of algorithms. Therefore, selecting a dynamic path-planning algorithm with strong adaptability has become a new challenge. …”
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Online determination of state of charge in lithium-ion batteries: influence of the state of health by Carlos Armenta-Deu

“…We conducted a simulation process to evaluate the evolution of the SOC in Li-ion batteries for different operating stages. …”
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Transferring Face Recognition Techniques to Entomology: An ArcFace and ResNet Approach for Improving Dragonfly Classification by Zhong Li, Shaoyan Pu, Jingsheng Lu, Ruibin Song, Haomiao Zhang, Xuemei Lu, Yanan Wang

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On-demand intelligent routing technology for deterministic network by Zhongli WU, Yuanyuan CAO, Wenrui HUANG, Bin DAI, Yijun MO

“…Deterministic network needs to ensure the deterministic transmission requirements of different applications in terms of delay, packet loss rate, jitter, throughput, and reliability.In response to the differentiated and deterministic network transmission requirements of applications, an on-demand intelligent routing framework OdR for deterministic network was proposed.Under the OdR framework, an on-demand intelligent routing algorithm named OdR-TD3 based on deep reinforcement learning was proposed, which generates routing strategies based on the deterministic QoS requirements of application traffic, to satisfy the applications’ requirements of deterministic network.The experimental evaluation results show the OdR-TD3 algorithm has a significant advantage over the DV algorithm and the SPF algorithm in terms of the achievement rate of deterministic QoS requirements.…”
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Applicability Analysis of Log Calculation Method for Organic Matter Maturity of Changning Shale Gas Reservoir in Southern Sichuan Basin by QIU Dingguo, YAN Jianping, GUO Wei, LIAO Maojie, QIU Xiaoxue, HUANG Yi

“…The shale formation of Wufeng formation and Longmaxi formation in southern Sichuan are affected by sedimentation and uplift caused by multi-stage tectonic movement, which makes the degree of thermal evolution in different regions very different. The maturity of organic matter is an important parameter to evaluate the degree of thermal evolution of shale gas reservoirs. …”
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Task Allocation and Path Planning Method for Unmanned Underwater Vehicles by Feng Liu, Wei Xu, Zhiwen Feng, Changdong Yu, Xiao Liang, Qun Su, Jian Gao

“…To enhance the search efficiency and accuracy of task allocation, a Circle chaotic mapping strategy is incorporated into the traditional GWA to improve population diversity. Additionally, a differential evolution mechanism is integrated to enhance local search capabilities, effectively mitigating premature convergence issues. …”
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Hybrid Metaheuristic Optimized Random Forest Models for Predicting Compressive Strength of Alkali Activated Concrete by Mana Alyami, Muhammad Faisal Javed, Irfan Ullah, Hisham Alabduljabbar, Furqan Ahmad

“…A random forest (RF) model was optimized using six metaheuristic algorithms: differential evolution (DEA), human felicity algorithm (HFA), nuclear reaction optimization (NRO), lightning search algorithm (LSA), Harris hawks optimization (HHO), and tunicate swarm algorithm (TSA). …”
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Time-varying channel estimation in reconfigurable intelligent surface assisted communication system by Kai SHAO, Ben LU, Guangyu WANG

“…Aiming at the key problems need to be solved, such as cascade channel sparse representation, time-varying channel parameter tracking and signal reconstruction, for time-varying cascade channels estimation of reconfigurable intelligent surface (RIS) assisted communication system, a Khatri-Rao and hierarchical Bayesian Kalman filter (KR-HBKF) algorithm was proposed.Firstly, the Khatri-Rao product and Kronecker product transformations were used to obtain the sparse representation of RIS cascaded channels based on the sparse characteristics of channels, thus the RIS cascaded channel estimation problem was transformed into a low-dimensional sparse signal recovery problem.Then, according to the state evolution model of RIS cascaded channel, the time correlation parameter was introduced into the prediction model of HBKF algorithm, and the improved HBKF was applied to solve the problem of time-varying channel parameter tracking and signal reconstruction for completing the time-varying cascaded channels estimation.The sparsity and time correlation of the channel were comprehensively considered in the KR-HBKF algorithm, thus better estimation accuracy could be obtained with small pilot overhead.Compared with the traditional compressed sensing algorithm, the simulation results show that the proposed algorithm has about 5 dB estimated performance improvement, and better robustness performance under different time-varying channel conditions.…”
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Adaptive dynamic programming-based multi-fault tolerant control of reconfigurable manipulator with input constraint by Zhenguo Zhang, Tianhao Ma, Yadan Zhao, Shuai Yu, Fan Zhou

“…Then, an evaluation neural network (NN) is established and the Hamilton–Jacobi–Bellman (HJB) equation is solved by online strategy iterative algorithm. …”
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Berth Allocation and Quay Crane Assignment Considering the Uncertain Maintenance Requirements by Siwei Li, Liying Song

“…To address this novel problem, we propose a proactive-reactive method that incorporates a reliability-based model into the Swarm Optimization with Differential Evolution (SWO-DE) algorithm. Computational results confirm the practical relevance and effectiveness of our proposed solution methods for container terminals.…”
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Kinematics Analysis of a Planar Symmetric (CRR)₂S-(3R)₂R Parallel Mechanism by Jie Li, Linxian Che, Li Du, Xin Zheng

“…The coordinate transformation method is applied to establish a set of nonlinear equations for the positive solution of the mechanism position，and the differential evolution algorithm is used to find the set of equations. …”
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Accurate protein-ligand binding free energy estimation using QM/MM on multi-conformers predicted from classical mining minima by Farzad Molani, Art E. Cho

“…The method achieved a high Pearson’s correlation coefficient (0.81) with experimental binding free energies across diverse targets, demonstrating its generality. Using a differential evolution algorithm with a universal scaling factor of 0.2, we achieved a low mean absolute error of 0.60 kcal mol- 1. …”
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