Received signal strength–based target localization under spatially correlated shadowing via convex optimization relaxation by Shengming Chang, Youming Li, Hui Wang, Gang Wang

“…Finally, the convex optimization problem can be efficiently solved by a standard interior-point method, thus to obtain the globally optimal solution. …”
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Traffic signal optimization control method based on attention mechanism updated weights double deep Q network by Huizhen Zhang, Zhenwei Fang, Youqing Chen, Haotian Dai, Qi Jiang, Xinyan Zeng

“…In this paper, for the feature extraction defects of deep double Q network and the problem of underestimating the evaluation value of actions, we propose an Attention Mechanism Updated Weights Double Deep Q Network (AMUW–DDQN) based on the attention mechanism for the optimal control of traffic signals. The AMUW–DDQN method enhances the perceptual ability of the network by introducing the attention mechanism of Squeeze And Excitation Networks (SENet) to make the neural network pay attention to important state components automatically, and based on the idea that accurate representation of potentially optimal action values is better than the balanced representation of all the action values, it is considered that underestimated actions have a certain probability of being the optimal action and the loss function is weighted to optimize the action values. …”
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Joint Optimization in Underwater Image Enhancement: A Training Framework Integrating Pixel-Level and Physical-Channel Techniques by Ozan Demir, Metin Aktas, Ender M. Eksioglu

“…We also propose to use the joint loss function for both Image-to-Image Module and Physics-Informed Module to enforce the joint optimization for better underwater image enhancement performance. …”
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Research and optimization of a multilevel fire detection framework based on deep learning and classical pattern recognition techniques by Qi Liu, Hong Chen, Da Lin

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A Load Control User Combinatorial Optimization Method Considering Electric Vehicle and Temperature-Controlled Load Clusters by Siwei LI, Zhongping XU, Long YU, Lishi DU, Liang YUE, Xirun ZHANG, Xiaoming WANG

“…Finally, the composition of user groups participating in peak load shifting and shedding and the adjustment amount of user load are optimized with the minimum load control influence, minimum network loss and minimum load fluctuation as multi-objectives. …”
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Optimal planning of integrated nuclear-hybrid renewable energy systems for electrical distribution networks based on artificial intelligence by Samira M. Nassar, A. A. Saleh, Ayman A. Eisa, E. M. Abdallah, Ibrahim A. Nassar

“…These two objectives are also considered together in a multi-objective optimization framework. The White Shark Optimizer is employed to determine the optimal configuration that achieves an improved voltage profile, reduces power losses, and minimizes both cost and greenhouse gas (GHG) emissions. …”
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TMBO-AOD: Transparent Mask Background Optimization for Accurate Object Detection in Large-Scale Remote-Sensing Images by Tianyi Fu, Hongbin Dong, Benyi Yang, Baosong Deng

“…Furthermore, we introduce a novel separated loss function that strengthens both foreground and background consistencies. …”
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A Refined Terrace Extraction Method Based on a Local Optimization Model Using GF-2 Images by Guobin Kan, Jie Gong, Bao Wang, Xia Li, Jing Shi, Yutao Ma, Wei Wei, Jun Zhang

“…The model structure and loss function were adjusted accordingly to achieve high-quality terrace mapping results. …”
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Group-Specific SVM With Bilevel Programming Methods for Parameter Optimization and Explainable AI in Urban Quality of Life Prediction by Gonzalo Rios-Vasquez, Hanns De La Fuente-Mella, Jose Ceroni-Diaz

“…The bilevel models consider linear and quadratic loss functions. The proposed approach is benchmarked against Linear Regression, Regression Tree, Random Forest, and Gradient Boosting models. …”
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Sustainable Material Cutting Optimization Using Deep Q-Networks: A Reinforcement Learning Approach for Resource Efficiency by Chen Linxuan

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Optimal charging station placement of electric vehicles in the smart distribution network based on the mixed integer linear programming by Mehdi Veisi, Hossein Naderian, Mazaher Karimi

“…The proposed approach is an optimization problem with the objective function equal to minimizing the cost of building charging stations and energy costs. …”
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Optimization of cryoprotectants and storage temperatures for preserving viability and probiotic properties of lyophilized bacterial strains from chicken gut. by Dipankar Sardar, Istiaq Morol, Johra Bari, Amalan Sarkar, Adnan Habib

“…Conversely, strains stored without cryoprotectants or at higher temperatures exhibited significant viability loss and functional decline. The study highlights the critical role of optimized cryoprotection in maintaining probiotic efficacy during long-term storage. …”
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Real-time Operation Optimization of Distribution Network FID Based on a PSO-ANN Two-step Method by SU Chang, SHI Gang, ZHANG Jianwen, LIU Haichun, ZHOU Jianqiao

“…Flexible interconnection device (FID), based on power electronic technology,allows independent and continuous regulation of active and reactive power. With the functions of reactive power support, power flow regulation, load balancing and network loss reduction, it has become the core device of the development of distribution network.To give full play to its advantages in the operation of distribution network, the real-time operation optimization problem is studied, and a PSO-ANN two-step method based on particle swarm optimization (PSO) and artificial neural network (ANN) is proposed: in step 1, PSO is used to solve some typical working conditions, and construct the training set to provide data support for ANN; in step 2, ANN is adopted, which can be trained offline and solve the working condition received quickly online.A case study on a 9 node distribution network verifies the regulation capability of FID and the accuracy and rapidity of the proposed method.…”
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Optimizing SVC placement for enhanced voltage stability using a novel index and hybrid ABC-PSO algorithm by Hafizur Rahman, Roman Mia, Mustafizur Rahman, Md. Faiyaj Ahmed Limon, Md. Shahid Iqbal, Md. Fahad Jubayer, Md. Rabiul Karim, Md. Janibul Alam Soeb

“…The optimization is led by four objective functions prioritized by the Analytic Hierarchy Process (AHP) and a novel recovery time calculation method to assess the economic viability of SVC investments. …”
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Optimizing PBMC Cryopreservation and Utilization for ImmunoSpot^® Analysis of Antigen-Specific Memory B Cells by Noémi Becza, Lingling Yao, Paul V. Lehmann, Greg A. Kirchenbaum

“…Additionally, B cell ImmunoSpot^® assays can be multiplexed for detecting four Ig classes, or IgG subclasses, simultaneously and without loss of sensitivity. The requirement for low cell numbers and the retention of B cell functionality by cryopreserved PBMCs equivalent to freshly isolated material implies that fewer than the standard 10 million PBMCs per vial can be frozen. …”
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Optimization of Angoumois Grain Moth (Sitotroga cerealella Olivier) Infestation in Stored Grains as Influenced by Some Botanical Powders by Mahmudul Hasan, Kazi Shahanara Ahmed, Nayan Chandra Howlader, Md. Mahfuzul Hasan, Mita Saha Puja, Most. Safia Farhana, Maruf Hasan Nikson

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Peak Arm Current Reduction of Modular Multilevel Converter Based on Particle Swarm Optimizer for Circulating Current Injections by Riyadh Toman Thahab, Tahani Hamodi Al-Mhana

“…This paper uses a particle swarm optimisation (PSO) algorithm to determine the optimal values for the injected components. The magnitude and phase of the injected components are treated as variables in the optimisation process, with the goal of minimising the peak arm current as the cost function. …”
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Optimization location routing problem (LRP) of humanitarian aid distribution in Sigi district using NSGA II methods by Serli Bombang, Bonivasius Prasetya Ichiarto, Humiras Hardi Purba

“…This study aims to determine the location of the distribution center construction and the optimal route using the NSGA II methods with the objective function of minimizing total costs and minimization of maximum travelling time for the distribution of humanitarian aid in the 2018 natural disaster in Sigi Regency. …”
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Energy Optimal Trajectory Planning for the Morphing Solar-Powered Unmanned Aerial Vehicle Based on Hierarchical Reinforcement Learning by Tichao Xu, Wenyue Meng, Jian Zhang

“…The multi-wing morphing solar aircraft can enhance solar energy acquisition through wing deflection, which simultaneously incurs aerodynamic losses, complicating energy coupling and challenging existing planning methods in efficiency and long-term optimization. …”
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Optimizing the Shape of Signals with Quadrature Amplitude Modulation According to the Criterion of Given Reduction Rate of Out-of-Band Emissions by S. B. Makarov, S. V. Zavjalov, A. S. Ovsyannikova

“…Improvement of the spectral efficiency of digital messaging systems by using signals with a compact spectrum and increased volume of the channel alphabet at the same time as minimizing energy losses.Materials and methods. When searching for optimal signals, the mathematical apparatus of communication theory and functional analysis, as well as the methods of calculus of variations, were used. …”
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