Microservice combination optimisation based on improved gray wolf algorithm by Jingjing Hu, Xiaojun Xu, Jin Hao, Xiuqi Yang, Kefan Qiu, Yuanzhang Li

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New Heuristic Local Search Method for University Course Timetabling by Mohammad Sadegh Shiri, Mostafa Khorramizadeh, Vahid Ahmadi

“…In the second phase, several new neighbourhood functions are used to improve the quality of computed feasible solutions. While the fitness function of the first phase is based on the violation of hard constraints, the fitness function of the second phase is based on the penalty of the feasible solution.Findings: The numerical results indicate that the required computing time increases with the size of instances, and the algorithm tends to converge towards the optimal solution after a few minutes.Originality/Value: The presented algorithm enables us to deal with extensive university course timetabling problems in practice. …”
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Multiple objectives escaping bird search optimization and its application in stock market prediction based on transformer model by Dedai Wei, Zimo Wang, Minyu Qiu, Juntao Yu, Jiaquan Yu, Yurun Jin, Xinye Sha, Kaichen Ouyang

“…Despite the availability of various forecasting methods, such as CNN, LSTM, BiLSTM, GRU, and Transformer, the hyperparameter optimization of these models often faces limitations, particularly in single-objective optimization, where they can easily fall into local optima. …”
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Efficiency management of engineering projects based on particle swarm multi objective optimization algorithm by Xiu Luo, Zhouxin Yi

“…A research proposes an optimization method for engineering project efficiency management based on multi-objective particle swarm optimization algorithm. …”
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Optimizing high-speed train tracking intervals with an improved multi-objective grey wolf by Lin Yue, Meng Wang, Peng Wang, Jinchao Mu

“…Originality/value – The MOGWO train tracking interval optimization method enhances the tracking process while ensuring a safe tracking interval. …”
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A UAV Image Stitching Method for Complex Urban Environments by W. Niu, D. Qiu, R. Wu, R. Wu, Z. Wang, Y. Shi

“…Experimental results show that the proposed method achieves high processing speed on low-performance hardware platforms, improves feature point distribution uniformity to 0.89, and achieves stitching accuracy (RMSE) of 3.5 pixels, significantly outperforming ORB and SIFT algorithms, while remaining robust in dynamic occlusion and lighting variation scenarios. …”
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Risk-Adjusted Deep Reinforcement Learning for Portfolio Optimization: A Multi-reward Approach by Himanshu Choudhary, Arishi Orra, Kartik Sahoo, Manoj Thakur

“…However, choosing an optimal reward function poses a significant challenge for risk-averse investors aiming to maximize returns while minimizing risk or pursuing multiple investment objectives. …”
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Task-Based Optimization of CT Trajectories Using a Learned Defect Visibility Metric by Linda-Sophie Schneider, Anshul Dhingra, Andreas K. Maier

“…Our results demonstrate that this method effectively optimizes CT trajectories by focusing on predefined regions of interest and provides a practical solution for efficient, cost-effective CT imaging in real-world applications. …”
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Comparing AI versus optimization workflows for simulation-based inference of spatial-stochastic systems by Michael Alexander Ramirez Sierra, Thomas R Sokolowski

“…Technically, both workflows employ simulation-based inference (SBI) methods: the first leverages a modern deep-learning technique known as sequential neural posterior estimation, while the second relies on a classical optimization technique called simulated annealing. …”
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Multitemporal Difference and Dynamic Optimization Framework for Multiscale Motion Satellite Video Super-Resolution by Qian Zhao, Youming Guo, Lei Min, Changhui Rao

“…To address this challenge, we propose an efficient super-resolution method based on a multitemporal difference and dynamic optimization framework. …”
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Logistics Hub Surveillance: Optimizing YOLOv3 Training for AI-Powered Drone Systems by Georgios Tepteris, Konstantinos Mamasis, Ioannis Minis

“…In this work, we propose methods to optimize the training of such high-performing systems. …”
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Optimizing Class Imbalance in Facial Expression Recognition Using Dynamic Intra-Class Clustering by Qingdu Li, Keting Fu, Jian Liu, Yishan Li, Qinze Ren, Kang Xu, Junxiu Fu, Na Liu, Ye Yuan

“…Here, we propose a method based on dynamic intra-class clustering (DICC) to optimize the class imbalance problem in facial expression recognition tasks. …”
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Development and evaluation of optimized PCR and indirect ELISA for the detection of Morganella morganii in dairy cows by Meihua Zhang, Jiayi Li, Jianfeng Xue, Huiling Xu, Muzi Li, Yibo Xia, Changxi Qi, Pu Zhang, Yongxia Liu, Jianzhu Liu

“…To mitigate this risk, rapid and reliable diagnostic methods for detection are essential. Currently, detection methods for M. morganii are underdeveloped, prompting us to develop both pathogenic and serological detection methods, including an optimized PCR technique and an indirect enzyme-linked immunosorbent assay (I-ELISA).MethodsThe optimized PCR method utilized bacterial suspensions directly as templates, bypassing the need for DNA extraction and thereby allowing the direct detection of M. morganii in fecal samples. …”
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Enhancing Image Quality by Optimizing and Fine-Tuning Multi-Fidelity Generative Adversarial Networks by Noor Baha Aldin

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Reliability Allocation Method for Electric Aircraft Lightweight Propulsion System by LI Jinghao, LI Ran, HUA Hao, HUANG Wentao, GAO Fei, TAI Nengling

“…Taking the “Spirit of Innovation” electric aircraft as an example, the results show that the proposed method can reduce the total weight of the power system of the electric aircraft by 3.5% while ensuring the reliability of the system. …”
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Low-carbon economic optimization of microgrid clusters based on an energy interaction operation strategy by Li Guoyu, Yin Zekun

“…Therefore, a low-carbon economic optimization method for microgrid clusters is built based on energy interaction operation strategies. …”
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A Bi-Level Optimization Model for Flexible Capacity Allocation with Coordinated Planning and Operation by Xinyu Yin, Xiaoyan Bian, Qinran Zhu, Jinbin Zhao, Shunfu Lin, Kwok L. Lo

“…The upper planning level introduces the economic costs, flexibility resource capacity, and flexibility index which are used as the evaluation index of system flexibility, while in the lower operation level, a morphological clustering algorithm based on the multiscale and entropy weight method is proposed for obtaining typical scenarios of flexibility demand. …”
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Maximum Torque per Ampere Control of PMSMs Using Real-Time Numerical Optimization by Yong Xu, Min-Yi Lin, Wen-Jie Wan, Yunchong Wang, Jian-Xin Shen

“…It is evaluated alongside the Levenberg-Marquardt algorithm (LMA), which is renowned for its high accuracy and rapid convergence. Compared to the LMA method, the proposed GPD method achieves an optimal balance between computational efficiency and control accuracy, making it suitable for embedded systems with limited resources. …”
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Thinned Eisenstein Fractal Antenna Array Using Multi-Objective Optimization for Wideband Performance by Luis E. Cepeda , Leopoldo A. Garza , Marco A. Panduro , Alberto Reyna , Manuel A. Zuñiga 

“…This integrated methodology reduces the number of active elements while enhancing overall array performance. The optimization process targets minimizing peak side lobe levels and maximizing directivity over a broad frequency range. …”
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Energy Efficiency and Reliability in Underwater Wireless Sensor Networks Using Cuckoo Optimizer Algorithm by M. Dosaranian-Moghadam, Z. Amo-Rahimi

“…Besides, we will show that while improving energy consumption, the number of paths found and, therefore, reliability of the network in the proposed method that uses duty-cycle mechanism are higher than the ones in GGFGD algorithm.…”
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