Differential Evolution Optimized a Second-Order Divided Difference Particle Filter by Ting Cao, Huo-tao Gao, Chun-feng Sun, Guo-bao Ru

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Generative design optimization of tree distribution for enhanced thermal comfort in communal spaces with special reference to hot arid climates by Ahmed Maged, Aly Abdelalim, Abdelaziz Farouk A. Mohamed

“…Therefore, this study explores the efficiency of generative design tools in optimizing tree distribution based on mutation evolution to enhance outdoor thermal comfort, providing a dynamic, iterative approach that adapts to diverse urban morphologies. …”
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Differential evolution-optimized gold nanorods for enhanced photothermal conversion by Aimad Koulali, Piotr Radomski, Paweł Ziółkowski, Francesca Petronella, Luciano De Sio, Dariusz Mikielewicz

“…This study also includes Computational Fluid Dynamics (CFD) calculations to evaluate the impact of optimized AuNRs on heat generation in a real-world scenario. …”
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Optimal placement of renewable distributed generators and electric vehicles using multi-population evolution whale optimization algorithm by Rinchen Zangmo, Suresh Kumar Sudabattula, Sachin Mishra, Nagaraju Dharavat, Naresh Kumar Golla, Naveen Kumar Sharma, Vinay Kumar Jadoun

“…Abstract This research takes on a crucial task- exploring the optimal placement of Renewable Distributed Generators such as Solar Photovoltaic, wind turbines and Electric Vehicles into the Radial Distribution System (RDS). …”
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Generic multidimensional economic environmental operation of power systems using equilibrium optimization algorithm by Mohamed T. Mouwafi, Adel A. Abou El-Ela, Amany A. El-Hamoly, Ragab A. El-Sehiemy

“…The proposed EOA is evaluated and tested on different-sized standard test systems having 10, 20, 40, and 80 generation units through several case studies. …”
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Determination of resilience of a panel of broadly neutralizing mAbs to emerging variants of SARS-CoV-2 generated using reverse genetics by Madeeha Afzal, Diana Melnyk, Thomas Courty, Lisa Schimanski, Michelle Hill, Stuart Neil, Tiong Kit Tan, William S. James

“…Here, we efficiently generate a panel of recent variants of SARS-CoV-2 (Omicron XBB.1.16, EG.5.1, BA.2.86, and JN.1) using a substantially optimized circular polymerase extension reaction (CPER) RGs system. …”
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Evaluation and optimization of carbon emission for federal edge intelligence network by Peng ZHANG, Yong XIAO, Jiwei HU, Liang LIAO, Jianxin LYU, Zegang BAI

“…In recent years, the continuous evolution of communication technology has led to a significant increase in energy consumption.With the widespread application and deep deployment of artificial intelligence (AI) technology and algorithms in telecommunication networks, the network architecture and technological evolution of network intelligent will pose even more severe challenges to the energy efficiency and emission reduction of future 6G.Federated edge intelligence (FEI), based on edge computing and distributed federated machine learning, has been widely acknowledged as one of the key pathway for implementing network native intelligence.However, evaluating and optimizing the comprehensive carbon emissions of federated edge intelligence networks remains a significant challenge.To address this issue, a framework and a method for assessing the carbon emissions of federated edge intelligence networks were proposed.Subsequently, three carbon emission optimization schemes for FEI networks were presented, including dynamic energy trading (DET), dynamic task allocation (DTA), and dynamic energy trading and task allocation (DETA).Finally, by utilizing a simulation network built on real hardware and employing real-world carbon intensity datasets, FEI networks lifecycle carbon emission experiments were conducted.The experimental results demonstrate that all three optimization schemes significantly reduce the carbon emissions of FEI networks under different scenarios and constraints.This provides a basis for the sustainable development of next-generation intelligent communication networks and the realization of low-carbon 6G networks.…”
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Performance evaluation of atmospheric water generation in different climates using thermoelectric cooling by Ali M. Ashour, Sarmad A. Ali, Saif Ali Kadhim, Luttfi A. Al-Haddad, Ali Habeeb Askar, Farhan Lafta Rashid, Ravishankar Sathyamurthy

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Various optimization algorithms for efficient placement and sizing of photovoltaic distributed generations in different networks. by Ahmed A Zaki Diab, Fayza S Mahmoud, Hamdy M Sultan, Abou-Hashema M El-Sayed, Mohamed A Ismeil, Omar Makram Kamel

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An Improved Human Evolution Optimization Algorithm for Unmanned Aerial Vehicle 3D Trajectory Planning by Xue Wang, Shiyuan Zhou, Zijia Wang, Xiaoyun Xia, Yaolong Duan

“…Experimental comparative research on three different terrain environments and five traditional algorithms shows that the IHEOA not only exhibits excellent performance in terms of convergence speed and precision but also generates superior paths while demonstrating exceptional global optimization capability and robustness in complex environments. …”
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Performance Evaluation and Optimization of 3D Gaussian Splatting in Indoor Scene Generation and Rendering by Xinjian Fang, Yingdan Zhang, Hao Tan, Chao Liu, Xu Yang

“…Through a systematic quantitative analysis of various performance indicators under differing resolution conditions, threshold settings for the average magnitude of spatial position gradients, and adjustments to the scaling learning rate, the optimal parameter configuration for the 3DGS model, specifically tailored for indoor modeling scenarios, is determined. …”
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Predicting the Evolution of the Supercontinuum Generation With CNN-LSTM Model by Yi Feng, Ruiyuan Liu, Xinyue Chang, Xiangzhen Huang, Yuan He, Ning Li, Tiantian Zhou, Chujun Zhao

“…The combined neural network can effectively solve the complex nonlinear propagation problems and maintain high accuracy compared with the LSTM, GRU neural networks for different incident power. The hybrid approach can facilitate the design and optimization of the spectral or temporal intensity distribution of SC generation, and may offer guidance for designing SC source for specific applications.…”
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Statistical Foundations of Generative AI for Optimal Control Problems in Power Systems: Comprehensive Review and Future Directions by Elinor Ginzburg-Ganz, Eden Dina Horodi, Omar Shadafny, Uri Savir, Ram Machlev, Yoash Levron

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Evaluation of the Efficiency of Heat Exchanger Channels with Different Flow Turbulence Methods Using the Entropy Generation Minimization Criterion by Piotr Bogusław Jasiński, Grzegorz Górecki, Zbigniew Cebulski

“…The selected geometries were evaluated according to the criterion of the Entropy Generation Minimization method as suggested by Adrian Bejan, with reference to a smooth pipe of the same diameter. …”
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Sentence Embedding Generation Framework Based on Kullback–Leibler Divergence Optimization and RoBERTa Knowledge Distillation by Jin Han, Liang Yang

“…First, a sentence embedding generation method based on Kullback–Leibler Divergence (KLD) optimization is proposed, which enhances semantic differentiation between sentence vectors, thereby improving the accuracy of textual similarity computation. …”
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Research on optimal scheduling of minor and moderate floods for cascade reservoirs in the lower reaches of the jinsha river considering power generation by Zaimin Ren, Bin He, Chenchen Yao, Xiaoshuai Lv, Xihong Wang

“…An evaluation index system was developed to select optimal solutions under different flood frequencies, using the Minimum Discriminant Information Principle and VIKOR model. …”
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Optimal Operation of Multi-Source Power Generation System with Electric Heater and Concentrating Solar Power Plant Considering Conditional Risk Cost by Chunhua PENG, Yi LIU, Huijuan SUN

“…The elite archiving strategy was adopted, and a differential evolution whale optimization algorithm with the elite archive was proposed to solve the model. …”
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Wheat Cultivation Suitability Evaluation with Stripe Rust Disease: An Agricultural Group Consensus Framework Based on Artificial-Intelligence-Generated Content and Optimization-Dri... by Tingyu Xu, Haowei Cui, Yunsheng Song, Chao Zhang, Turki Alghamdi, Majed Aborokbah

“…Limited regional coverage and inconsistent evaluations among wheat pathologists complicate consensus-reaching. …”
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Optimal setting automatic excitation controllers for synchronous generators by R. I. Kanafeev, A. D. Zhirnov, T. G. Klimova

“…Various optimization techniques required objective functions, developed on the basis of the root and frequency criteria for evaluation ofparameters of the regulatory process for the proper functioning of the automatic excitation controller for synchronous generator (AEC SG), working in different scheme-regime situations. …”
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Thermal-Management Performance of Phase-Change Material on PV Modules in Different Climate Zones by Liang Tang, Yong Luo, Linlin Yin, Jinwei Li, Xiaoling Cao

“…To investigate the thermal-management performance of PCMs in different zones and obtain optimal design parameters, this study investigated the temperature-control effect of PCMs on PV systems across different regions through experiments. …”
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