Development and Validation of a Capacitor–Current Circuit Model for Evaporation-Induced Electricity by Wenluan Zhang, Runru Tristan Liu, Yumin Huang

“…This simplified model paves the way for better understanding and optimization of evaporation-induced electricity, highlighting potential improvements in device design for enhanced performance. …”
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Investigating The Flapped Horizontal Axial Wind Turbine Experimentally to Improve Power coefficient and Stability by Qassim Wanis . M, Muhammad A.R. Yass, Ahmed Kamil Hasan

“…Through computational fluid dynamics (CFD) simulations and optimization techniques. The aerodynamic effects of flap deployment on wind turbine blades are analyzed. …”
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Implementation of Genetic Algorithm Integrated with the Deep Neural Network for Estimating at Completion Simulation by Karrar Raoof Kareem Kamoona, Cenk Budayan

“…The aim of integrating these input optimization algorithms is to approximate the input attributes and investigate the highly influenced factors on the calculation of EAC. …”
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Numerical analysis of repaired wall loss defect pipelines for optimum composite wrap thickness by Muhammed Khaise, Silvio de Barros, Ney Rohem, Maria Banea, Sandip Budhe

“… The paper presents the numerical analysis of failure pressure of wall loss defect metallic pipelines and validate it with experimental results. An optimization of composite thickness for repair of wall loss defect pipeline is also carried out using numerical analysis. …”
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Prediction Model of Corrosion Current Density Induced by Stray Current Based on QPSO-Driven Neural Network by Chengtao Wang, Wei Li, Gaifang Xin, Yuqiao Wang, Shaoyi Xu

“…The QPSO algorithm was employed to optimize the updating process of weights and biases in the artificial neural network (ANN). …”
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Weapon-Target Assignment Problem by Multiobjective Evolutionary Algorithm Based on Decomposition by Xiaoyang Li, Deyun Zhou, Qian Pan, Yongchuan Tang, Jichuan Huang

“…The multiobjective evolutionary algorithm based on decomposition (MOEA/D) is a practical and promising multiobjective optimization technique. However, MOEA/D is originally designed for continuous multiobjective optimization which loses its efficiency to discrete contexts. …”
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Robust Optimum Design of Multiple Tuned Mass Dampers for Vibration Control in Buildings Subjected to Seismic Excitation by Luciara Silva Vellar, Sergio Pastor Ontiveros-Pérez, Letícia Fleck Fadel Miguel, Leandro Fleck Fadel Miguel

“…Thus, in this work, a new methodology for simultaneous optimization of parameters and positions of multiple tuned mass dampers (MTMDs) in buildings subjected to earthquakes is proposed. …”
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Vibration Reliability Analysis of Aeroengine Rotor Based on Intelligent Neural Network Modeling Framework by Jia-Qi Liu, Yun-Wen Feng, Cheng Lu, Wei-Huang Pan, Da Teng

“…INNMF is based on the artificial neural network (ANN) algorithm through improved particle swarm optimization (PSO) algorithm and Bayesian Regularization (BR) optimization. …”
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Clustering and Prediction Analysis of the Coordinated Development of China’s Regional Economy Based on Immune Genetic Algorithm by Yang Yang

“…Compared with the fixed value of the immune genetic algorithm, the introduction of the adaptive concept can intelligently adjust the optimization process and increase the optimization speed. …”
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Reliability-Based Fatigue Life Prediction for Complex Structure with Time-Varying Surrogate Modeling by Lu-Kai Song, Guang-Chen Bai, Cheng-Wei Fei, Jie Wen

“…The efforts of this study offer a useful insight for the reliability-based design optimization of complex structure.…”
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Research on two‐level energy management based on tiered demand response and energy storage systems by Danhao Wang, Daogang Peng, Dongmei Huang, Lan Ren

“…Adaptive incentive strategies were formulated according to different electric power user demand response scenarios. Furthermore, an optimal incentive decision‐making technology oriented towards user comfort was proposed, achieving an integrated function of strategy formulation, implementation, analysis, and optimization for power demand response. …”
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Towards Human Capture Movement: Estimation of Anatomical Movements of the Shoulder by B. B. Salmerón-Quiroz, C. F. Mendez-Barrios, J. F. Guerrero-Castellanos, S. A. Rodriguez-Paredes, G. Villegas-Medina

“…We propose a discrete optimization based-approach which aims to search the optimal attitude ambiguity directly without decorrelation of ambiguity, and to computing the baseline vector consequently. …”
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Power Allocation in the TV White Space under Constraint on Secondary System Self-Interference by Byungjin Cho, Konstantinos Koufos, Kalle Ruttik, Riku Jäntti

“…We define the power allocation scheme as an optimization problem. The sum cell border data rate of the secondary network is selected to be the optimization objective. …”
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UAV Path Planning Based on Improved A∗ and DWA Algorithms by Xiong Bai, Haikun Jiang, Junjie Cui, Kuan Lu, Pengyun Chen, Ming Zhang

“…As a result, the global optimal path evaluation subfunction is constructed. …”
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Low voltage user power internet of things monitoring system based on LoRa wireless technology by Xiao Wang, Wei Zhao, Xixian Niu

“…This study uses LoRa technology to construct a monitoring system for the electric energy Internet of Things. Additionally, an optimization model based on a particle swarm optimization algorithm and backpropagation neural network for optimizing base station positioning and channel quality evaluation is proposed. …”
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Motion Control of a Mobile Robot Using the Hedge–Algebras-Based Controller by Sy-Tai Nguyen, Thi-Thoa Mac, Hai-Le Bui

“…Therefore, the HA-based controller (HAC) has many advantages over the traditional fuzzy set theory-based controller (FC) in setup steps, control efficiency, computation time, and optimization. This study aims to control the avoidance of obstacles in the workspace and move to the destination of an autonomous robot using HAC, in which the HAC is optimized using the balancing composite motion optimization (BCMO) to return the optimal path. …”
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An Experimental and Numerical Investigation of a Passive Façade and Proposals for Improving Its Energy Performance by Eugen Iavorschi, Laurențiu Dan Milici, Pavel Atănăsoae, Constantin Ungureanu

“…Numerous studies have been conducted to optimize the control of passive façades with the aim of improving building energy performance. …”
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Exploring the Teaching Mode of English Audiovisual Speaking in Multimedia Network Environment by Shunlan Wang

“…The algorithm firstly improves the parameter adaptive setting of PSO based on the particle and population evolution rate, establishes parameter adaptive PSO, and realizes the optimization of adaptive PSO optimized MP sparse decomposition. …”
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Self-administration of Recombinant Human Growth Hormone with an Electronic Device: Clinical, Economic and Management Benefits of Objective Adherence Monitoring by Zuleika Saz-Parkinson, Maria Del Sol Granados Alonso, Carmen Bouza, José Luis Poveda Andrés, José María Amate

“…A better adjustment to prescribed daily dose (accuracy up to 0.01 mg) with the electronic device results in a better optimization of vials and could save an average of 5% of total treatment costs in terms of doses not wasted, amounting to €245 of potential savings per patient and year of treatment. …”
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Accurate 3D Mapping Algorithm for Flexible Antennas by Saed Asaly, Boaz Ben-Moshe, Nir Shvalb

“…The experimental result shows that the presented mapping method can detect changes up to 0.1-millimeter accuracy, while the camera is located 1 meter away from the dish, allowing an RF antenna optimization for Ka and Ku frequencies. Such optimization process can improve the gain of the flexible antennas and allow an adaptive beam shaping. …”
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