Enhancing Solid Oxide Fuel Cell Efficiency Through Advanced Model Identification Using Differential Evolutionary Mutation Fennec Fox Algorithm by Manish Kumar Singla, Jyoti Gupta, Ramesh Kumar, Pradeep Jangir, Mohamed Louzazni, Nimay Chandra Giri, Ahmed Jamal Abdullah Al-Gburi, E. I.-Sayed M. EI-Kenawy, Amal H. Alharbi

“…This research introduces a novel approach for optimal SOFC model identification using a differential evolutionary mutation Fennec fox algorithm (DEMFFA). …”
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COMPARATIVE CHARACTERISTICS OF THE AVAILABLE LABORATORY TESTS AND THEIR COMBINATIONS USED IN DIFFERENTIAL DIAGNOSIS OF OVARIAN NEOPLASMS by M. A. Egunova, I. G. Kutsenko

“…We also compared the prognostic indices (Risk Malignancy Index – RMI and Risk of Ovarian Malignancy Algorithm – ROMA) currently used to make differential diagnoses of benign and malignant ovarian neoplasms at the preoperative stage. …”
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A simplified approach for efficiency analysis of machine learning algorithms by Muthuramalingam Sivakumar, Sudhaman Parthasarathy, Thiyagarajan Padmapriya

“…The results demonstrate that our approach effectively differentiates algorithm performance based on the specific demands of each application. …”
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A multi-objective bilevel optimisation evolutionary algorithm with dual populations lower-level search by Weizhong Wang, Hai-Lin Liu, Hongjian Shi

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Solving Multidimensional Partial Differential Equations Using Efficient Quantum Circuits by Manu Chaudhary, Kareem El-Araby, Alvir Nobel, Vinayak Jha, Dylan Kneidel, Ishraq Islam, Manish Singh, Sunday Ogundele, Ben Phillips, Kieran Egan, Sneha Thomas, Devon Bontrager, Serom Kim, Esam El-Araby

“…The first variant uses Finite Difference Method (FDM), Classical-to-Quantum (C2Q) encoding, and numerical instantiation, whereas the second variant utilizes FDM, C2Q encoding, and Column-by-Column Decomposition (CCD). We evaluated the proposed algorithm using the Poisson equation as a case study and validated it through experiments conducted on noise-free and noisy simulators, as well as hardware emulators and real quantum hardware from IBM. …”
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A novel inversion method of slope rock mechanical parameters using differential evolution gray wolf algorithm to optimize support vector regression by Tingkai Hou, Zonghong Zhou, Yonggang Zhang, Jing Zhang

“…The conventional techniques used to assess the RMMPs face considerable challenges in real-world applications, which necessitates the need to investigate novel approaches.MethodsThis paper proposes a displacement back-analysis (DBA) approach that utilizes support vector regression (SVR) optimized by differential evolution grey wolf algorithm (DE-GWO) to invert the RMMPs, which improves global optimization capability and inversion accuracy. …”
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Experimental evaluation of differential voltage protection scheme based on a coherence function applied to AC machine stator windings by R. A. Mahmoud

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Estimating Daily Reference Crop Evapotranspiration in Northeast China Using Optimized Empirical Models Based on Heuristic Intelligence Algorithms by Zongyang Li, Zhengxin Zhao, Liwen Xing, Lu Zhao, Ningbo Cui, Huanjie Cai

“…By using the least square method (LSM) and three population heuristic intelligent algorithms—a genetic algorithm (GA), a particle swarm optimization algorithm (PSO), and a differential evolution algorithm (DE)—the parameters of eleven kinds of models were optimized, respectively, and the ETo estimation model suitable for northeast China was selected. …”
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Defining Rural Types Nearby Large Cities from the Perspective of Urban–Rural Integration: A Case Study of Xi’an Metropolitan Area, China by Xiji Jiang, Jiaxin Sun, Tianzi Zhang, Qian Li, Yan Ma, Wen Qu, Dan Ye, Zhendong Lei

“…A clustering algorithm enhanced by the random forest (RF)–principal component analysis (PCA)–partitioning around medoids (PAM) method is applied to evaluate rural integration comprehensively. …”
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The Crossover strategy integrated Secretary Bird Optimization Algorithm and its application in engineering design problems by Xiongfa Mai, Yan Zhong, Ling Li

“…This improved algorithm integrated logistic-tent chaotic mapping initialization, an improved differential mutation operator, and crossover strategies with the Secretary Bird Optimization Algorithm (SBOA) for a better quality solution and faster convergence. …”
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Evaluation of dynamic characteristics of a linear time-varying system by Volt Avdieiev

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Evaluation of dynamic characteristics of a linear time-varying system by Volt Avdieiev

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A molecular dynamics-based algorithm for evaluating the glycosaminoglycan mimicking potential of synthetic, homogenous, sulfated small molecules. by Balaji Nagarajan, Nehru Viji Sankaranarayanan, Bhaumik B Patel, Umesh R Desai

“…To address this, we developed a three-step molecular dynamics (MD)-based algorithm to compare sulfated NSGMs with GAGs. In the first step of this algorithm, parameters related to the range of conformations sampled by the two highly sulfated molecules as free entities in water were compared. …”
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A contract-based cooperative spectrum sharing model in cognitive radio network by Guangqiang SHI, Ying LIU, Xiaomin MU

“…A contract-based cooperative spectrum sharing model in cognitive radio network was proposed.In this model,secondary user offers relay service for primary user when primary user's channel is poor.In return,when primary user's channel is good,secondary user can use spectrum with the underlay mode under the condition that the interference is limited.Contract theory in economics was introduced to this framework,the problem of collaboration between the primary and secondary users was modeled as a contract design problem,and the effectiveness function of evaluate primary and secondary users on contract revenue was set up.And the differential evolution algorithm was used to solve the problem.Finally,in different circumstances,primary user collaboration and un-collaboration were contrasted.The results showed that the main users under the condition of no additional input spectrum,not only save the sending power,but also effectively improve the data transfer rate,and improve the energy efficiency and spectrum efficiency.…”
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1.7 MV Tandem Accelerator Beam Tuning Optimization by JIANG Ran, LI Ailing, CUI Baoqun, TANG Bing, CHEN Haonan, WANG Yunfeng

“…To augment the inherent efficiency and enhance the quality of the conventional manual beam-tuning methodology, this paper presented an innovative approach through the incorporation of a differential evolution (DE) algorithm. Initially, the architectural framework of the DE algorithm was meticulously delineated, serving as the bedrock of the methodological paradigm. …”
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Mortality Risk Prediction in Patients With Antimelanoma Differentiation–Associated, Gene 5 Antibody–Positive, Dermatomyositis–Associated Interstitial Lung Disease: Algorithm Develo... by Hui Li, Ruyi Zou, Hongxia Xin, Ping He, Bin Xi, Yaqiong Tian, Qi Zhao, Xin Yan, Xiaohua Qiu, Yujuan Gao, Yin Liu, Min Cao, Bi Chen, Qian Han, Juan Chen, Guochun Wang, Hourong Cai

“…The primary endpoint was 3-month mortality due to all causes. Six ML algorithms (Extreme Gradient Boosting [XGBoost], logistic regression (LR), Light Gradient Boosting Machine [LightGBM], random forest [RF], support vector machine [SVM], and k-nearest neighbor [KNN]) were applied to construct and evaluate the model. …”
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Optimizing Fractional-Order Convolutional Neural Networks for Groove Classification in Music Using Differential Evolution by Jiangang Chen, Pei Su, Daxin Li, Junbo Han, Gaoquan Zhou, Donghui Tang

“…The proposed DE-FOCNN was evaluated on the Janata dataset, which includes pre-rated music tracks. …”
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Economic Dispatch in Electrical Systems with Hybrid Generation Using the Differential Evolution Algorithm: A Comparative Analysis with Other Optimization Techniques Under Energy Li... by Jorge Cadena-Albuja, Carlos Barrera-Singaña, Hugo Arcos, Jorge Muñoz

“…Once the scenarios are established, the problem is formulated as a hydrothermal dispatch optimization, which is then tackled using heuristic and metaheuristic approaches, with a strong focus on the Differential Evolution algorithm.…”
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Adrenal nodule: does computed tomography outperform chemical shift magnetic resonance imaging in differentiating benign versus malignant? by Noble Charles, Nilkanth Pal, Jeevan Vernekar

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Formation of Instantaneous Differential and Restraining Cur-rents for Differential Protection of Busbar Assemblies by V. S. Kachenya, M. S. Loman

“…An exponential smoothing algorithm has been proposed and analyzed. It is concluded that exponential smoothing increases the stability of the differential protection according to instantaneous values to external faults. …”
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