Portfolio optimization with MOPSO-Shrinkage hybrid model by Minh Tran, Nhat M. Nguyen

“…Among the hybrid models, MOPSO-SSIM exhibits the best performance, with an average annual return of 18.86% and a Sharpe ratio of 1.27, while significantly reducing portfolio risk. Rigorous statistical tests confirm the robustness of the model, showing that MOPSO-Shrinkage significantly outperforms traditional methods. …”
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Optimizing Trajectories for Rechargeable Agricultural Robots in Greenhouse Climatic Sensing Using Deep Reinforcement Learning with Proximal Policy Optimization Algorithm by Ashraf Sharifi, Sara Migliorini, Davide Quaglia

“…In this paper, we propose a method based on Deep Reinforcement Learning enriched with a Proximal Policy Optimization (PPO) algorithm for determining the best trajectory an agricultural robot must follow to balance the number of measurements and autonomy adequately. …”
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Optimal sizing of battery energy storage system (BESS) for multiple applications using regression analysis and deep sleep optimizer algorithm by Chukwuemeka Emmanuel Okafor, Komla Agbenyo Folly

“…Regression analysis is used for mathematical formulations while Deep Sleep Heuristic algorithms in MATLAB environment is used for the optimization process for BESS optimal size. …”
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Co-composting of olive mill waste cake residues (OMWC) and other wastes: Prediction and optimization using an optimal mixture design by Imane Mehdaoui, Faical El Ouadrhiri, Saoudi Hassani El Mokhtar, Rachid Mahmoud, Mohamed Ben Abbou, Amal Lahkimi, Mustapha Taleb, Zakia Rais

“…The experimental design method  was used to optimize the composition of compost. …”
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Stochastic simulation to optimize rice breeding at IRRI by Fallou Seck, Fallou Seck, Parthiban Thathapalli Prakash, Giovanny Covarrubias-Pazaran, Tala Gueye, Ibrahima Diédhiou, Sankalp Bhosale, Suresh Kadaru, Jérôme Bartholomé, Jérôme Bartholomé, Jérôme Bartholomé

“…However, the demand for rice is growing while its cultivation faces challenges posed by climate change. …”
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An efficient metaheuristic optimization algorithm for optimal power extraction from PV systems under various weather and load-changing conditions by Md.Al Imran Fahim, Md.Salah Uddin Yusuf, Monira Islam, Munshi Jawad Ibne Azad

“…A comprehensive study compares the HHO technique with established methods such as perturb and observe (P&O), modified P&O (MP&O), incremental conductance (IC), Spline MPPT, particle swarm optimization (PSO), grasshopper optimization (GHO), and grey wolf optimization (GWO) across fast-changing irradiance, partial shading, complex partial shading, and load-changing conditions. …”
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Quantum-Enhanced Generalized Pattern Search Optimization by Colton Mikes, David Huckleberry Gutman, Victoria E. Howle

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Methods of making investment decisions by J. A. Konopleva, O. N. Pakova, M. A. Aleksandrova

“…For effective activity, an investor needs to assess the profitability and expediency of investments, as well as choose the most optimal strategy to achieve their goals.Materials and methods. …”
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Enhanced Cuckoo Search Optimization with Opposition-Based Learning for the Optimal Placement of Sensor Nodes and Enhanced Network Coverage in Wireless Sensor Networks by Mandli Rami Reddy, M. L. Ravi Chandra, Ravilla Dilli

“…The performance of ECSO-OBL is evaluated using eight benchmark functions, and the results of three cases are compared with the existing methods. The proposed method enhances network coverage with a non-uniform distribution of sensor nodes and attempts to cover the whole ROI with a minimal number of sensor nodes. …”
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Improving pain, function and quality of life in end-stage knee osteoarthritis: a patient-preference cohort study on whole-body vibration and exercise as bridging therapies for tota... by Kendrew Yu-Hei Choi, Wai-Wang Chau, Linda Man-Kuen Li, Sammie Yuk-Lam Ng, Boie Po-Yee Lo, Michael Tim-Yun Ong, Patrick Shu-Hang Yung

“…Particularly in pain reduction, changes exceeded both MCID and MDC thresholds, suggesting WBV’s potential as a clinically valuable adjunct to exercise therapy. While some improvements in functional outcomes were statistically significant and surpassed MDC values, their clinical significance varied, future research should focus on optimizing WBV protocols and investigating long-term effects to guide clinical practice in managing patients awaiting TKR.…”
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Method of cooling server rooms by E. I. Strashko, I. A. Shortsky, R. A. Zhlobo

“…This scientific work is devoted to the study and analysis of various cooling techniques used in server rooms. Method. The study is based on thermodynamic analysis methods to optimize cooling systems to improve their efficiency and reduce energy consumption. …”
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Improving Power Distribution Resilience Through Optimal PV and BES Allocation With a Cost-Based Optimization Framework for Normal and Emergency Conditions by Mohammad Taghi Ettehad, Reza Mohammadi Chabanloo, Mohammad Taghi Ameli

“…Additionally, energy losses are reduced by 6.7%, while ENS improves by 7.2% compared to configurations optimized solely for normal conditions. …”
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Distributed Low-Carbon Energy Management of Urban Campus for Renewable Energy Consumption by Kan Yu, Qiang Wei, Chuanzi Xu, Xinyu Xiang, Heyang Yu

“…Second, an ADMM-based distributed optimal energy management method is proposed to meet user energy needs while preserving local privacy; this includes energy storage systems, renewable energy generation, and the loads within each urban building microgrid. …”
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Reconstruct the Mesoscale Information of Typhoon with BDA Method Combined with AMSU-A Data Assimilation Method by Yunfeng Wang, Haiyang Zhang, Bin Wang, Yueqi Han, Xiaoping Cheng

“…This paper conducts the assimilating experiments and simulating experiments on typhoon “Aere” (No. 0418), by use of bogus data assimilation (BDA) method combined with advanced microwave sounding unit-A (AMSU-A) data assimilation method in the fifth-generation National Center for Atmospheric Research (NCAR)/Penn State Mesoscale Model Version-3 (MM5V3), the Radiative Transfer for TIROS-N Operational Vertical Sounder Version-7 (RTTOV) model, and their adjoint models. …”
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Building Energy Optimization Using an Improved Exponential Distribution Optimizer Based on Golden Sine Strategy Minimizing Energy Consumption Under Uncertainty by Mohammad Ali Karbasforoushha, Mohammad Khajehzadeh, Suraparb Keawsawasvong, Lapyote Prasittisopin, Thira Jearsiripongkul

“…Therefore, while the stochastic model offers a more realistic system design, it also highlights the challenge of managing uncertainty in building energy optimization.…”
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Network- and Demand-Driven Initialization Strategy for Enhanced Heuristic in Uncapacitated Facility Location Problem by Jayson Lin, Shuo Yang, Kai Huang, Kun Wang, Sunghoon Jang

“…Experiments were carried out based on the TRB dataset and compared eight state-of-the-art methods. For instance, in the ultra-large-scale Gold Coast network, the NDWRWI-based Neighborhood Search (NS) achieved a competitive optimal total cost (9,372,502), closely comparable to the best-performing baseline (RI-based: 9,189,353), while delivering superior clustering quality (Silhouette: 0.3859 vs. 0.3833 and 0.3752 for RI- and GI-based NS, respectively) and reducing computational time by nearly an order of magnitude relative to the GI-based baseline. …”
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Analytical Methods for Atmospheric Carbonyl Compounds: A Review by Xiaoshuai Gao, Xin Zhang, Yan Nie, Jiemeng Bao, Junling Li, Rui Gao, Yunfeng Li, Wei Wei, Xiaoyu Yan, Yongxin Yan, Hong Li

“…It was found that the direct sampling methods of atmospheric carbonyl compounds were applicable to low-molecular-weight carbonyl species with low reactivity, low boiling points, high polarity, and high volatility, while indirect sampling methods were suitable for a wider range and various types and phases of species. …”
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Automatic Vehicles’ Trajectories Optimization on Highway Exclusive Lanes by Lingjuan Chen, Yangbo Ruan, Yiquan Gou

“…The rapid development of V2X communication has made it possible to optimize and control the trajectories of vehicles from the whole traffic flow’s perspective and improve traffic performance. …”
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OPTIMIZATION OF TRANSPORTATION ROUTES IN A CLOSED LOGISTICS SYSTEM by Vladimir Beskorovainyi, Olexij Kuropatenko, Denys Gobov

“…To solve such problems, methods using directed enumeration of options are recognized effective; a mathematical model of the optimization problem of the network of closed micro-logistics routes for local transportation with the simultaneous transportation of the contents of the forward and reverse flows was developed; To solve the problem of optimizing closed-loop micro-logistics route networks at the local transportation level while simultaneously transporting the contents of the forward and reverse flows, modifications of the Clark-Wright methods are proposed, as well as a method based on coordinate-wise optimization and insertion schemes; experimental studies of the proposed modifications of the methods made it possible to obtain estimates of their temporal complexity. …”
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Design Optimization of Energy-Efficient Residential Buildings in Morocco by Karim Boumlik, Rafik Belarbi, Mohammed Ahachad, Mustapha Mahdaoui, Hassan Radoine, Moncef Krarti

“…While the sequential search method has been applied elsewhere, its specific application to achieve net-zero energy homes in the Moroccan context with comparable LCC is a new contribution. …”
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