Development and Optimization of a Novel Semi-Submersible Floater for Floating Wind Turbines in the South China Sea by Yiming Zhong, Wenze Liu, Wei Shi, Xin Li, Shuaishuai Wang, Constantine Michailides

“…To accommodate the trend toward larger FOWTs, an optimization procedure for scaling up floater designs is developed in this study. Using a differential evolution algorithm, the optimization process adjusts column diameter and spacing while considering motion response and steel usage constraints. …”
Get full text

Optimization Research on Magnetic Interference Parameter Identification and Compensation for AUV Platforms by Haodong Wen, Guohua Zhou, Kena Wu, Xinkai Hu, Liezheng Tang, Shuai Xia

“…The Success History-based Adaptive Differential Evolution with Linear Population Size Reduction (L-SHADE) algorithm is employed to optimize and identify model parameters for solving the magnetic field, and Back Propagation Neural Network (BPNN) is designed and optimized through training to enable the direct estimation of the true magnetic field from the measured magnetic field. …”
Get full text

MetaForecaster: A PSO-Driven Neural Model for Sustainable Industrial Air Quality Management by Marzia Ahmed, Shahrin Islam, Mohd Herwan Sulaiman, Md Maruf Hassan, Touhid Bhuiyan

“…Comparative analyzes with established hybrid forecasting approaches, such as Genetic Algorithm-NN, Simulated Annealing-NN, and Differential Evolution-NN, demonstrate the superior performance of the proposed PSO-NN model, achieving notably low prediction errors (MSE: <inline-formula> <tex-math notation="LaTeX">$1.1941 \times 10^{-7}$ </tex-math></inline-formula>), MAPE: 0.0016 and a high coefficient of determination (<inline-formula> <tex-math notation="LaTeX">$R^{2}$ </tex-math></inline-formula>: 0.99999). …”
Get full text

Research on concrete structure damage detection based on piezoelectric sensing technology and morphological fractal method by Hanqing Zhong, Liwei Shuai, Dongmin Deng

“…The research results show that the signal corrosion algorithm based on mathematical morphology can significantly enhance the contrast of the steepness characteristics of wave peaks at different damage stages, thereby more effectively capturing the self-similarity characteristics of signal waveforms. …”
Get full text

Optimization of grounding resistance in multitrain DC subway system based on MOEA/D‐DE by Na Liu, Guifu Du, Fei He, Qiaoyue Li, Fengchuan Xu, Weiguo Huang, Xingxing Jiang, Zhongkui Zhu

“…Here, the grounding resistance of OVPD is optimized by a proposed multi‐objective decomposition algorithm based on differential evolution (MOEA/D‐DE) to suppress the rise of RP and SC synergistically. …”
Get full text

Risk assessment of water inrush from coal floor based on enhanced samples with class distribution by Shiwei Liu, Jiaxin Zhao, Hao Yu, Jiaqi Chen

“…A prediction model of the water inrush risk for the coal seam floor was established using a coupled algorithm of extreme learning machines, self-adaptive differential evolution, and CDMTD (PCA-CDMTD-SaDE-ELM) and was used to evaluate the water inrush risk in the 19,105 working face of the Yunjialing Mine. …”
Get full text

Global Single-Shot Indoor Localization of Autonomous Flight Robots With Minimal Sensor Configuration by Timm von Bergen, Sascha Rock

“…Afterwards, one of two methods is employed: a randomized coarse-to-fine search, in which the search space is iteratively reduced, or a parallel differential evolution algorithm, which enhances pose estimates with evolutionary algorithms while avoiding premature convergence. …”
Get full text

A New Framework for Dynamic Educational Marketing Segmentation in Student Recruitment: Optimizing Fuzzy C-Means with Metaheuristic Techniques by Rizal Bakri, Bobur Sobirov, Niken Probondani Astuti, Ansari Saleh Ahmar, Pawan Kumar Singh

“…This study develops a new framework for dynamic educational marketing segmentation in student recruitment by optimizing FCM using three metaheuristic techniques: Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Differential Evolution (DE). …”
Get full text

Integrated Scheduling of Multi-Objective Job Shops and Material Handling Robots with Reinforcement Learning Guided Meta-Heuristics by Zhangying Xu, Qi Jia, Kaizhou Gao, Yaping Fu, Li Yin, Qiangqiang Sun

“…Second, three meta-heuristics, i.e., genetic algorithm (GA), differential evolution, and harmony search, are employed, and their variants with seven local search operators are devised to enhance solution quality. …”
Get full text

Service Composition and Optimal Selection for Industrial Software Integration with QoS and Availability by Yangzhen Cao, Shanhui Liu, Chaoyang Li, Hongen Yang, Yuanyang Wang

“…To efficiently solve the proposed model, a hybrid enhanced multi-objective Gray Wolf Optimizer (HEMOGWO) was developed. This algorithm integrated Tent chaotic mapping and a Levy flight-enhanced differential evolution (DE) strategy. …”
Get full text

Modelling maintenance scheduling strategies for highway networks. by Bao Tong, Jianwei Wang, Xue Wang, Feihao Zhou, Xinhua Mao, Yaxin Duan

“…A simulated annealing algorithm and augmented Lagrange algorithm are employed to solve the two proposed models, respectively. …”
Get full text

Multi-Criteria Analysis of Steel–Concrete–Steel Slab Performance: Dynamic Response Assessment Under Post-Fire Explosion by Shijie Zhang, Zhenfu Chen, Yizhi Liu, Qiuwang Tao, Dan Wu, Pinyu Zou

“…This article uses ABAQUS 2020 finite element software and combines the different advantages of the implicit heat transfer algorithm and explosion display algorithm to establish a numerical simulation method for dynamic analysis of SCS slab under explosion after fire. …”
Get full text

Time-Delay following Model for Connected and Automated Vehicles with Collision Conflicts and Forced Deceleration by Wenbo Wang, Fei Hui, Kaiwang Zhang, Xiangmo Zhao, Asad J. Khattak

“…Additionally, the model parameters are calibrated using real vehicle data from urban roads combined with an improved salp swarm algorithm. Finally, the evolution rule of disturbance in the traffic flow under different states is analyzed using a time-space diagram, and the DIDM-CSCL model is compared with the classical IDM. …”
Get full text

Host-symbiont-gene phylogenetic reconciliation by Menet, Hugo, Trung, Alexia Nguyen, Daubin, Vincent, Tannier, Eric

“…These interactions range from independence or conflict to cooperation and coevolution, which results in them having a common history. The evolution of such systems is approached by phylogenetic reconciliation, which describes the common patterns of diversification between two different levels, e.g. genes and species, or hosts and symbionts for example. …”
Get full text

VAMP-Based Kalman Filtering Under Non-Gaussian Process Noise by Tiancheng Gao, Mohamed Akrout, Faouzi Bellili, Amine Mezghani

“…For the sake of theoretical performance prediction, we conduct a state evolution (SE) analysis of the proposed algorithm and show its consistency with the asymptotic empirical mean-squared error (MSE). …”
Get full text

Bamboo bio composite: A renewable and sustainable sound absorber for acoustic comfort in indoor settings by Hassan Irvani, Hassan Asilian Mahabadi, Ali Khavanin, Ali Safari Variani, Mohammad Javad SheikhMozafari

“…Porosity and airflow resistivity (AFR) parameters were directly determined, while the parameters of tortuosity, viscous, and thermal characteristic length were inversely determined using the differential evolution algorithm in MATLAB. The Field Emission Scanning Electron Microscope (FESEM) was also used for the morphological analysis of the samples. …”
Get full text

An Automated Decision Support System for Portfolio Allocation Based on Mutual Information and Financial Criteria by Massimiliano Kaucic, Renato Pelessoni, Filippo Piccotto

“…To solve the resulting non-smooth programming problem with non-convex constraints, this paper proposes a variant of the distance-based parameter adaptation for success-history-based differential evolution with double crossover (DISH-XX) algorithm equipped with a hybrid constraint-handling approach. …”
Get full text

Enhancing security and efficiency in Mobile Ad Hoc Networks using a hybrid deep learning model for flooding attack detection by Pramodh Krishna D., E. Sandhya, Khaja Shareef Sk, Srihari Varma Mantena, Venkata Subbaiah Desanamukula, Ch Koteswararao, Srinivasa Rao Vemula, Maruthi Vemula

“…To optimize the model’s efficiency, a unique DECEHGS algorithm combining Differential Evolution and Evolutionary Population Dynamics techniques is employed, enhancing both convergence and performance. …”
Get full text

Qinghai Energy Demand Forecasting and Development Strategy Research under the Background of Construction of Clean Energy Demonstration Province by Hongxia LI, Xiangcheng ZHANG, Fang LI, Haining ZHANG, Nan LI, Xue MA

“…Then, a DMDE-BPNN hybrid prediction model is established by optimizing the BP neural network prediction model with the double mutation differential evolution algorithm. By taking Qinghai Province as an example, the annual energy demand in typical years is forecasted, and some measures are proposed for the development of clean energy in Qinghai Province.…”
Get full text

An Efficient Parametric Modeling, Evaluation and Optimization Strategy for Aerodynamic Configuration Design of eVTOL Aircraft by Yiming Du, Zehao Liu, Meizhu Shen, Jiang Wu, Kexin Zhang, Chuanye Jiang, Jiale Zhong

“…A phased collaborative aerodynamic design strategy for eVTOL aircraft was established, by combining the OpenVSP platform for rapid parametric modeling and evaluation, a Kriging surrogate framework with an improved differential evolution algorithm for optimization, and the SUAVE platform for propeller reverse design. …”
Get full text