A Comprehensive Review of Optimizing Multi-Energy Multi-Objective Distribution Systems with Electric Vehicle Charging Stations by Mahesh Kumar, Aneel Kumar, Amir Mahmood Soomro, Mazhar Baloch, Sohaib Tahir Chaudhary, Muzamil Ahmed Shaikh

“…Key areas have focused on optimization techniques, technical parameters, IEEE networks, simulation tools, distributed generation types, and objective functions. …”
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Fuzzy logic-based IoT system for optimizing irrigation with cloud computing: Enhancing water sustainability in smart agriculture by Abdennabi Morchid, Zafar Said, Almoataz Y. Abdelaziz, Pierluigi Siano, Hassan Qjidaa

“…MATLAB is used to simulate and visualize fuzzy membership functions, enabling optimized decision-making. Results show that the system reduces water losses by adjusting watering periods according to soil temperature and humidity. …”
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Enhancing Data Privacy Protection and Feature Extraction in Secure Computing Using a Hash Tree and Skip Attention Mechanism by Zizhe Zhou, Yaqi Wang, Lin Cong, Yujing Song, Tianyue Li, Meishu Li, Keyi Xu, Chunli Lv

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Three-Dimensional Magnetotelluric Forward Modeling Using Multi-Task Deep Learning with Branch Point Selection by Fei Deng, Hongyu Shi, Peifan Jiang, Xuben Wang

“…Additionally, we introduce an uncertainty-based loss function to dynamically balance the learning weights between tasks, addressing the shortcomings of traditional loss functions. …”
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Modeling of Systematic Errors and Precision Optimization Methods for Workpiece Clamping and Alignment System in Aeroengine Gearbox Automated Line Machining by DU Xueming, XIANG Yang, LIU Shun, JIN Sun

“…By optimizing the bases structure of the alignment system, the precision loss is reduced from 11.53% to 2.33%. …”
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Estimating [Formula: see text] distribution parameters under Type II progressive censoring using particle swarm optimization. by Rasha Abd El-Wahab Attwa, Shimaa Wasfy Sadk, Hassan M Aljohani

“…The Bayesian approach is utilized for both the informative and non-informative under two different loss functions (square error and Linex loss functions) using Lindley's approximation. …”
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Multi-scenario simulation of land use optimization based on ecosystem services and ecological security patterns in the Liaohe River Basin by Qing Luo, Jing Zhang, Yajing Bao, Yilin Zhang, Jie Yu, Jiaxin Li, Xunwen Wu, Shuai Zhang, Nan Cao, Dongli Wang

“…These ESPs were further embedded as redline constraints in scenario-based land use simulations under four development pathways, forming a spatial structure that links ecological function with landscape connectivity and couples service assessments with spatial policy optimization.ResultsThe results showed that: (1) the Total Ecosystem Service (TES) exhibited a spatial gradient of high values in the east and west and low values in the central basin, with the strongest synergy with habitat quality, and the weakest with water yield; (2) ecosystem service bundle zoning revealed that the Comprehensive Service Function Zone and the Ecological Buffer Zone had the highest levels of diversity and connectivity, while the Agricultural Development Priority Zone exhibited a strong coupling between spatial structure and dominant function; (3) among different scenarios, the ecological-priority scenario (PEP) reduced net forest loss by 63.2% compared to the economic-priority scenario (PUD), significantly enhancing ecological spatial integrity.DiscussionThis study proposed a scenario-based simulation framework to support ecological redline delineation and watershed-scale ecosystem governance for territorial ecological restoration.…”
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Accelerated Bayesian optimization for CNN+LSTM learning rate tuning via precomputed Gaussian process subspaces in soil analysis by Xiaolong Chen, Hongfeng Zhang, Cora Un In Wong, Zhengchun Song

“…Moreover, the method’s adaptability to non-stationary response surfaces, facilitated by a Matérn-5/2 kernel with automatic relevance determination, makes it particularly suitable for soil data exhibiting multi-scale features.ResultsEmpirical validation on soil spectral datasets demonstrates a 3–5× speedup in convergence compared to standard Bayesian optimization, with no loss in model accuracy. Experiments on soil spectral datasets show convergence in 23.4 min (3.8× faster than standard Bayesian optimization) with a test RMSE of 0.142, while maintaining equivalent accuracy across diverse CNN+LSTM architectures.ConclusionThe reformulated approach not only overcomes the scalability limitations of conventional GP-based optimization but also preserves its theoretical guarantees, offering a practical solution for hyperparameter tuning in resource-constrained environments.…”
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Encoding local label correlations in multi-instance multi-label learning with an improved multi-objective particle swarm optimization by Xiang Bao, Fei Han, Qinghua Ling

“…Specifically, a framework is proposed by taking consideration into both global discrimination fitting and local label correlation sensitivity in the bag level simultaneously in the standard MIML. Subsequently, the loss function of the framework is solved by an alternating optimization process where Support Vector Machine (SVM) classifiers are constructed for optimization. …”
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An Optimization Method for PCB Surface Defect Detection Model Based on Measurement of Defect Characteristics and Backbone Network Feature Information by Huixiang Liu, Xin Zhao, Qiong Liu, Wenbai Chen

“…Lastly, MPDIoU is used as the bounding box loss regression function, improving training efficiency by enhancing convergence speed and accuracy. …”
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Landscape ecological risk assessment and driving factors analysis based on optimal spatial scales in Luan River Basin, China by Nijuan Yang, Ting Zhang, Jianzhu Li, Ping Feng, Nina Yang

“…This paper figured out the optimal spatial scales of the Luan River Basin integrating response curves, area accuracy loss model, and semi-variation function under the appropriate resampling method. …”
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New Donor Selection Criteria Result in Optimal Outcomes of Kidneys from Uncontrolled Donation After the Circulatory Determination of Death by Sandra Campos, MD, Maria Angeles Ballesteros, MD, PhD, Emilio Rodrigo, MD, PhD, Covadonga López del Moral, MD, Félix Campos-Juanatey, MD, Borja Suberviola, MD, PhD, Lucía García-Alcalde, MD, Aurora Amaya, MD, Beatriz Domínguez-Gil, MD, PhD, Juan Carlos Ruiz-San Millan, MD, PhD, Eduardo Miñambres, MD, PhD

“…Strict donor selection criteria and efforts to minimize WIT are essential to achieving optimal long-term results.…”
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Software Define Wide Area Network (SDWAN) network optimization analysis on radiolink-fiber optic access media migration by Nugraha Beny, Muslim Muslim, Mega Nur Khotimah, Lukman Medriavin Silalahi, Dhiya Akmal Firdaus, Christ Geofany

“…Furthermore, this study conducted an optimization analysis on the SDWAN (Software Defined Wide Area Network) network, SDWAN functions as a firewall that can provide connectivity support and infrastructure network development in branch offices with system security in one centralized platform. …”
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Heuristic Optimization-Assisted Dilated Convolution Neural Network With Gated Recurrent Unit for Channel Estimation in NOMA-OFDM System by Vijayakumar Kondepogu, Budhaditya Bhattacharyya

“…Here the input signals are extracted and infer the signal at the receiver terminal. The loss functions in the model are optimized by using the Improved Pelican Optimization Algorithm (IPOA). …”
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Optimization of abdominal CT based on a model of total risk minimization by putting radiation risk in perspective with imaging benefit by Francesco Ria, Anru R. Zhang, Reginald Lerebours, Alaattin Erkanli, Ehsan Abadi, Daniele Marin, Ehsan Samei

“…Methods The proposed model characterized total risk as the sum of radiation and clinical risks defined as functions of radiation burden, disease prevalence, false-positive rate, expected life-expectancy loss for misdiagnosis, and radiologist interpretative performance (i.e., AUC). …”
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Resilience evolution and optimization strategies of ecological networks in the Three Gorges Reservoir Area: A scenario-based simulation approach by Haohua Wang, Lulu Zhou, Kangchuan Su, Yun Zhou, Qingyuan Yang

“…With the intensification of human activities such as urbanisation, industrialization, and agricultural expansion, global ecosystems face habitat fragmentation and degradation, resulting in functional loss and decreased ecological connectivity, which compromises ecosystem service stability and sustainability. …”
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Risk Measure Examination for Large Losses by Miwaka Yamashita

“…The analysis incorporates the certainty equivalent, generation of the optimal certainty equivalent formulation, divergence utility, and general utility functions in their original form, and their relationship with expectiles and elicitability. …”
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Hybrid fuzzy logic–PI control with metaheuristic optimization for enhanced performance of high-penetration grid-connected PV systems by Mohamed Ahmed Ebrahim Mohamed, Sayed A. Ward, Mohamed F. El-Gohary, M. A. Mohamed

“…A user-friendly MATLAB/SIMULINK environment is developed, incorporating eleven distinct blocks along with a modelled national utility grid, utilizing actual operational data from the PVPP. To optimize the FLC-PI control scheme, several artificial intelligence (AI)-based metaheuristic optimization techniques (MOTs) are employed to simultaneously tune all control parameters—namely Grey Wolf Optimization (GWO), Harris Hawks Optimization (HHO), and the Arithmetic Optimization Algorithm (AOA)—are employed. …”
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Enhancing MPPT optimization with hybrid predictive control and adaptive P&O for better efficiency and power quality in PV systems by Benabdallah Naima, Belabbas Belkacem, Tahri Ahmed, Habib Benbouhenni, Bouddou Riyadh, Heroual Samira, Zaidi Sarra, Z. M. S. Elbarbary, Salman Arafath Mohammed

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Study on Multi-Scenario Rain-Flood Disturbance Simulation and Resilient Blue-Green Space Optimization in the Pearl River Delta by Wei Dai, Yang Tan

“…Firstly, based on an analysis of the current status quo of blue-green space in the Pearl River Delta and the identification of potential areas at risk from rain and floods, this paper elucidates that resilient blue-green space in the Pearl River Delta should be guided by a systematic, bottom-line, and forward-looking orientation while considering spatial characteristics such as multi-scale network connectivity, redundancy and diversity/multi-functionality. Secondly, an optimization route is proposed based on steps of analysis of existing blue-green space, identification of inundated areas prone to rain and flood damage and optimization of blue-green spaces. …”
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