Precision nitrogen management for optimal yield and cannabinoid profile in CBD hemp agronomy by Dinesh Panday, Bharat Sharma Acharya, Nikita Bhusal, Reza Keshavarz Afshar, Andrew Smith, Arash Ghalehgolabbehbahani

“…Addressing these gaps, a 2‐year field trial (2022 and 2023) was conducted at the Rodale Institute‐Pocono Organic Center in Blakeslee, PA, aiming to optimize CBD hemp production through precision N management. …”
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Optimizing Pre-Trained Code Embeddings With Triplet Loss for Code Smell Detection by Ali Nizam, Ertugrul Islamoglu, Omer Kerem Adali, Musa Aydin

“…A triplet loss-based deep learning network is designed to optimize in-class similarity and increase the distance between classes. …”
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Federated deep reinforcement learning-based urban traffic signal optimal control by Mi Li, Xiaolong Pan, Chuhui Liu, Zirui Li

“…Abstract This paper proposes a cross-domain intelligent traffic signal control method based on federated Proximal-Policy Optimization (PPO) for distributed joint training of agents across domains for typical intersections, aiming at solving the problems of slow learning speed and poor model generalization when deep reinforcement learning (RL) is applied to cross-domain multi-intersection traffic signal optimization control. …”
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Wavelet Transform-Based 3D Landscape Design and Optimization for Digital Cities by Yang Chen, Xiaolin Wang, Chang Zhang

“…The algorithm extracts mixed feature information of local long path and local short path based on the information retention module, and decomposes the information by combining wavelet transform, inputs the different components obtained from the decomposition into the network for training, and removes the noise by subsequent feature screening of the network structure. Then, aiming at the optimization of 3D landscape design, an information fusion model based on long-short time memory network and radial basis backpropagation network is proposed for fusing multiple sources of information in the digital city to evaluate the landscape. …”
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An Optimized Dual-View Snake Unet Model for Tunnel Lining Crack Detection by Baoxian Li, Hao Xu, Xin Jin, Huaizhi Zhang, Shuo Jin, Qianyu Chen, Fengyuan Wu

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Using Adaptive Surrogate Models to Accelerate Multi-Objective Design Optimization of MEMS by Ali Nazari, Armin Aghajani, Phiona Buhr, Byoungyoul Park, Yunli Wang, Cyrus Shafai

“…This comprehensive, step-by-step framework serves as a valuable resource for researchers and practitioners aiming to optimize MEMS designs from the ground up, providing a reliable and effective approach to multi-objective optimization in MEMS applications.…”
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Development and optimization of an electrohydrodynamic dehydrator using ANN-GA for improved energy performance by Chakrit Suvanjumrat, Klar Kongsarai, Piyamon Phong-arom, Namnguen Chumphong, Machimontorn Promtong, Jetsadaporn Priyadumkol

“…Furthermore, an integrated ANN–genetic algorithm (ANN-GA) approach was established to optimize the drying parameters, aiming to maximize drying kinetics and minimize SEC. …”
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Optimization of bike-sharing repositioning operations: A reactive real-time approach by Enrique Jiménez-Meroño, Francesc Soriguera

“…And second, its reliance and sensitivity to demand forecasts, with its inherent level of uncertainty. Aiming to overcome these weaknesses, this paper presents a strategy based on a real-time pairwise assignment between repositioning trucks and tasks, in order to optimize the bike-sharing repositioning operations. …”
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Optimal design of acoustic metamaterials for noise suppression by the frequency division in military equipment by Shaohua Bi, Fei Yang, Xinmin Shen, Wenqiang Peng, Xiaocui Yang, Qin Yin, Xiaonan Zhang, Heng Zhang, Dong Wang, Jingguo Chen, Zhiming Li

“…By combining particle swarm optimization with finite element simulation, the suboptimal average sound absorption coefficient (αavg) of ten populations was 0.52, 0.54, 0.54, and 0.44, respectively, after iterating for 50 generations. …”
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Multi-objective optimization and parameter sensitivity study on microreactor nuclear power systems by Ersheng You, Yiyi Li, Jianjun Xu, Dianchuan Xing, Haochun Zhang

“…For such applications, it was not only needed to achieve high system thermal efficiency, but also needed to achieve as small as possible and light in weight. Aiming at the MRNPS based on Brayton cycles, the particle swarm optimization (PSO) method was used to carry out the optimization calculation and analysis of three target parameters: system thermal efficiency, power-to-weight ratio and radiator heat removal area. …”
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Evaluating and Optimizing MySejahtera App Analytics for Sustainable Digital Government Services by Adawiyah Ashar, Nur Fazidah Elias, Ruzzakiah Jenal, Meng Chun Lam, Maheshwara Rao Appannan, Siti Aishah Iskandar

“…Existing research is deficient in examining valuable data resources and user experience in government app optimization. This study undertakes a comprehensive evaluation of MySejahtera through the meticulous analysis of application analytics and user feedback, aiming to assess its operational efficacy, patterns of user engagement, and performance indicators. …”
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Taxonomy of Memory Usage in Swarm Intelligence-Based Metaheuristics by Yasear et al.

“…The metaheuristics tend to divert from promising areas of solutions search spaces which will lead to non-optimal solutions. This paper aims to review memory usage and its effect on the performance of the main SI-based metaheuristics. …”
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Shell and tube heat exchanger optimization: A critical literature assessment and fairness-based comparative performance analysis of meta-heuristic algorithms by Samet Gürgen

“…This study aimed to perform algorithm performance for STHE optimization by integrating a fair evaluation approach. …”
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HEPSO-SMC: a sliding mode controller optimized by hybrid enhanced particle swarm algorithm for manipulators by Zhongwei Liu, Tianyu Zhang, Sibo Huang, He Wang

“…Abstract Sliding Mode Controller (SMC) is a controller design method used for control systems, aimed at achieving robust and stable control of systems. …”
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Operational response to contamination in water distribution systems: a multi-objective Bayesian optimization approach by Khalid Alnajim, Ahmed A. Abokifa

“…The optimization framework aims to balance the conflicting objectives of minimizing response time while maximizing water quality metrics after contamination events. …”
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Designing Multi-Objective Optimization Model of Electricity Market Portfolio for Industrial Consumptions under Uncertainty by Saeed Khalili, Ebrahim Abbasi, Bardia Behnia, Mohammad Amirkhan

“…The present study is aimed to design a model for selecting the optimal electricity market portfolio, so the purchase costs can be minimized by considering a risk level. …”
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Robust Optimality and Duality for Nonsmooth Multiobjective Programming Problems with Vanishing Constraints Under Data Uncertainty by Balendu Bhooshan Upadhyay, Shubham Kumar Singh, I. M. Stancu-Minasian, Andreea Mădălina Rusu-Stancu

“…Moreover, uncertainties are inherent in various real-life problems. The aim of this article is to identify an optimal solution to an uncertain optimization problem with vanishing constraints that remains feasible in every possible future scenario. …”
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Rational design of the aerodynamic rudder structure taking into account strength, rigidity and aeroelastic stability by V. N. Akimov, Ya. A. Kupriyanova, S. G. Parafes’

“…The ANSYS Workbench software package was used for the finite element analysis and topological optimization. Based on the results of optimization, post-processing was carried out. …”
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Improvement teaching-learning-based optimization algorithm for solar cell parameter extraction in photovoltaic systems by H. Khaterchi, M. H. Moulahi, A. Jeridi, R. Ben Messaoud, A. Zaafouri

“…Traditional single-diode models, while widely used, often lack precision, leading to inefficiencies in parameter extraction essential for reliable PV systems. Goal. The work aims to improve the Teaching-Learning-Based Optimization (TLBO) algorithm to enhance the accuracy of parameter extraction in PV models. …”
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FUZZY GEOGRAPHICALLY WEIGHTED CLUSTERING WITH OPTIMIZATION ALGORITHMS FOR SOCIAL VULNERABILITY ANALYSIS IN JAVA ISLAND by Alwan Fadlurohman, Tiani Wahyu Utami, Setiawan Amrullah, Nila Ayu Nur Roosyidah, Oktaviana Rahma Dhani

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