Taxonomy of Memory Usage in Swarm Intelligence-Based Metaheuristics by Yasear et al.

“…Metaheuristics under the swarm intelligence (SI) class have proven to be efficient and have become popular methods for solving different optimization problems. …”
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Optimizing plastic film mulch to improve the yield and water use efficiency of dryland maize in the Loess Plateau, China. by Rui Zhang, Hongjuan Zhang, Yunpeng Xing, Lian Xue

“…Knowledge on the variation of yield and water use efficiency under different mulching methods is important for guiding rained maize production in the Loess Plateau area. …”
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A Quality Soft Sensing Method Designed for Complex Multi-process Manufacturing Procedures by Kaixiang PENG, Xin QIN, Jiahao WANG, Hui YANG

“…Second, considering the spatiotemporal correlation coupling and quality inheritance characteristics of complex manufacturing processes, to better utilize the optimal feature subset and fully explore the deep information within and between different procedures, this study proposes a three-dimensional (feature-time-procedure) sample space representation method. …”
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Intelligent path planning for cognitive mobile robot based on Dhouib-Matrix-SPP method by Souhail Dhouib

“…The outcomes acquired from different scenarios indicate that the proposed DM-SPP method can rapidly outperform the four predefined artificial intelligence methods.…”
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Multi-modal denoised data-driven milling chatter detection using an optimized hybrid neural network architecture by Haining Gao, Haoyu Wang, Hongdan Shen, Shule Xing, Yong Yang, Yinlin Wang, Wenfu Liu, Lei Yu, Mazhar Ali, Imran Ali Khan

“…The Ivy algorithm is employed to optimize the hyperparameters of CEEMD-SVD. Multi-modal data features of different machining states are then obtained using time–frequency domain methods and Markov transition field methods. …”
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Optimizing Location of Car-Sharing Stations Based on Potential Travel Demand and Present Operation Characteristics: The Case of Chengdu by Yu Cheng, Xu Chen, Xiaohua Ding, Linting Zeng

“…Then we analyze and classify all the grids into four groups. For different groups of grids, we give different suggestions on the optimal location of stations. …”
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Security decision method for the edge of multi-layer satellite network based on reinforcement learning by Peiliang ZUO, Shaolong HOU, Chao GUO, Hua JIANG, Wenbo WANG

“…The simulation results show that compared with the random edge security decision and the edge security decision oriented by the signal-to-noise ratio parameter,the method proposed has a greater advantage in the delay performance, and is comparable to the optimal edge security decision performance obtained by traversal.The difference is small. …”
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Methods for User-Controlled Synthesis of Blood Vessel Trees in Medical Applications: A Survey by Nikolaus Rauch, Matthias Harders

“…Therefore, in this paper we provide a survey of state-of-the-art methods for blood vessel synthesis, with a focus on user-control. …”
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Towards automatic US-MR fetal brain image registration with learning-based methods by Qi Zeng, Weide Liu, Bo Li, Ryne Didier, P. Ellen Grant, Davood Karimi

“…The results show that our method outperforms conventional optimization-based methods and recent learning-based techniques for rigid image registration. …”
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Tuning of Novel Fractional Order Fuzzy PID Controller for Automatic Voltage Regulator using Grasshopper Optimization Algorithm by Mohammad Ali Khaniki, Mohammad Hadi, Mohammad Manthouri

“…Unlike other methods, the gains of FOFPID controller are not constant and alter in different operating conditions. …”
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Research Progress on Ambient Visual Information Analysis and Perception Measurement Methods for Motion Vision by Haipeng ZHU, Yuhang KONG, (JPN) OHNO Ryuzo

“…As China’s urbanization shifts toward optimizing existing spaces, the focus of public space design is evolving to emphasize ambiance and user experience. …”
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Knowledge-Based Planning and Multi-criteria Optimization Combination with Volumetric Modulated Arc Therapy for Patients with Laryngeal Cancer by Hideharu Miura, Soichiro Ishihara, Masahiro Kenjo, Minoru Nakao, Shuichi Ozawa, Masayuki Kagemoto

“…PTV and CI95% were not significantly different between the three planning methods (P > 0.05). …”
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Selection method for hybrid energy storage schemes for supply reliability improvement in distribution networks by Qian Li, Yuanbao Zhou, Yunxiao Zhang, Yuxin Fu

“…Secondly, to eliminate the interference of utility value improvement processing on evaluation results, we introduce a secondary screening method based on TOPSIS evaluation results. This method mitigates the influence of subjective coefficients by evaluating HES schemes under different subjective coefficients and selecting optimal and sub-optimal schemes. …”
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Sustainable Urban Mobility: Corridor Optimization to Promote Modal Choice, Reduce Congestion, and Enhance Livability in Hyderabad, Pakistan by Mehnaz Soomro, Irfan Ahmed Memon, Imtiaz Ahmed Chandio, Saima Kalwar, Hina Marvi, Aneel Kumar, Afraz Ahmed Memon

“…This research aims to optimize corridors in Hyderabad, Sindh, to encourage various transportation options, such as the BRT system and Peoples Bus Service, to reduce congestion and enhance livability by developing and accessing different methods and strategies. …”
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Historical information based iterative soft Kalman time-varying channel estimation method by Lu CHENG, Lihua YANG, Zenghao WANG, Jie ZHANG, Yan LIANG

“…For high-speed mobile MIMO-OFDM systems,a historical information based iterative soft-Kalman filter time-varying channel estimation method was proposed.Considering that the channels experienced by different trains in the high-speed railway environment have strong correlation,the channel information of the historical train was firstly used to obtain the optimal basis function,which can be employed to model the channel.By the optimal basis function,the computational complexity was reduced and the channel estimation accuracy was improved for the proposed method.Secondly,the soft-Kalman filter and data detection were jointed to estimate the base coefficient in each iteration.To reduce the effect of data detection error propagation on the channel estimation,the soft data detection scheme was employed and the soft detection error was treated as noise in each iteration.In addition,the soft-Kalman filter used in the proposed method does not involve the AR model tracking factor,thereby avoiding the computational complexity introduced by the estimated tracking factor.The simulation results show that the proposed method has better estimation performance,and is more suitable for time-varying channel acquisition of actual high-speed mobile scenarios.…”
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Historical information based iterative soft Kalman time-varying channel estimation method by Lu CHENG, Lihua YANG, Zenghao WANG, Jie ZHANG, Yan LIANG

“…For high-speed mobile MIMO-OFDM systems,a historical information based iterative soft-Kalman filter time-varying channel estimation method was proposed.Considering that the channels experienced by different trains in the high-speed railway environment have strong correlation,the channel information of the historical train was firstly used to obtain the optimal basis function,which can be employed to model the channel.By the optimal basis function,the computational complexity was reduced and the channel estimation accuracy was improved for the proposed method.Secondly,the soft-Kalman filter and data detection were jointed to estimate the base coefficient in each iteration.To reduce the effect of data detection error propagation on the channel estimation,the soft data detection scheme was employed and the soft detection error was treated as noise in each iteration.In addition,the soft-Kalman filter used in the proposed method does not involve the AR model tracking factor,thereby avoiding the computational complexity introduced by the estimated tracking factor.The simulation results show that the proposed method has better estimation performance,and is more suitable for time-varying channel acquisition of actual high-speed mobile scenarios.…”
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A Model for Detecting <i>Xanthomonas campestris</i> Using Machine Learning Techniques Enhanced by Optimization Algorithms by Daniel-David Leal-Lara, Julio Barón-Velandia, Lina-María Molina-Parra, Ana-Carolina Cabrera-Blandón

“…To address this issue, this study developed a model that combines fuzzy logic and neural networks, optimized with intelligent algorithms, to detect symptoms of this foliar disease in 15 essential crop species under different environmental conditions using images. …”
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Solving Action Semantic Conflict in Physically Heterogeneous Multi-Agent Reinforcement Learning with Generalized Action-Prediction Optimization by Xiaoyang Yu, Youfang Lin, Shuo Wang, Sheng Han

“…To address these challenges, we introduce an adaptive MARL algorithm named Generalized Action-Prediction Optimization (GAPO). First, we introduce the Generalized Action Space (GAS), which represents the union of all agent actions with distinct semantics. …”
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Optimizing diagnostic yield in pulmonary lesions: impact of combined sampling tools and EBUS-TBNA during radial EBUS by Eduardo Tuta-Quintero, Luis F. Giraldo-Cadavid, Catalina Sanmiguel-Reyes, Maria E. Navia, Ricardo Cardenas, Alirio Bastidas, Angelica Mora, Nelson Páez-Espinel, Lucía Viola, Miguel Suárez, Libardo Jiménez-Maldonado, Mauricio Durán, Jacqueline Mugnier, Javier Flandes

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Integrating BIM with Lean Principles for Enhanced Decision-making: Optimizing Insulation Material Selection in Sustainable Construction Project by Karim El Mounla, Djaoued Beladjine, Karim Beddiar

“…The tool’s ability to adapt to different building types and climatic conditions confirms its accuracy and reliability in optimizing energy performance and reducing environmental impact and project costs. …”
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