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Tensile Test Optimization Using the Design of Experiment and Soft Computing
منشور في 2023"…The study demonstrated that the hybrid soft computing method outperformed the traditional DOE method, achieving a substantial improvement in elongation of 32.9%. The optimized combination of machining parameters led to a notable enhancement in the brass samples’ tensile properties, highlighting the effectiveness of the applied methodology. …"
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42
Optimal design of power system stabilizers using evolutionary programming
منشور في 2002"…The proposed approach employs EP to search for optimal settings of PSS parameters that shift the system eigenvalues associated with the electromechanical modes to the left in the s-plane. …"
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43
Simulation Based Optimization of Logistics Decisions Under Horizontal Collaboration
منشور في 2023احصل على النص الكامل
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44
Optimal Assignment of Mobile Charging Stations for On-The-Move Electric Vehicles
منشور في 2023احصل على النص الكامل
doctoralThesis -
45
Machine Learning Model for a Sustainable Drilling Process
منشور في 2023احصل على النص الكامل
doctoralThesis -
46
AGC tuning of interconnected reheat thermal systems with particle swarm optimization
منشور في 2003"…The results reported in this paper demonstrate the effectiveness of the particle swarm optimizer in the tuning of the AGC parameters. …"
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Performance Optimization in Lead-Free Perovskite Solar Cell: A Comparative Approach
منشور في 2025"…The effect of these changes on efficiency was examined, and the experimental outcomes were compared with existing literature to determine optimal parameters. …"
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Multi-Agent Variational Approach for Robotics: A Bio-Inspired Perspective
منشور في 2023"…A parameterized Aquila Optimizer is then used to further increase the exploration pace. …"
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51
Optimal multiobjective design of robust power system stabilizers using genetic algorithms
منشور في 2003"…The problem of robustly selecting the parameters of the power system stabilizers is converted to an optimization problem which is solved by a genetic algorithm with the eigenvalue-based multiobjective function. …"
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52
Location optimization of municipal solid waste considering health, safety, environmental, and economic factors
منشور في 2018"…These objectives are combined into a single objective function using the weighted sum method and the best method is selected based on noise analysis. The parameter uncertainty is incorporated into the model using expert judgments followed by sensitivity analysis to show the effect of the most important parameters. …"
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Assessment of Inventory and Transportation Collaboration in a Logistics Marketplace
منشور في 2020احصل على النص الكامل
doctoralThesis -
54
Analysis of Maisotsenko open gas turbine bottoming cycle
منشور في 2015"…Furthermore, detailed sensitivity analysis is reported to present the effect of different operating parameters on the proposed configurations' performance. …"
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55
Sustainable Detoxification of Methylene Blue in Wastewater via Tea Residue Adsorption: Optimization and Kinetics
منشور في 2025"…<p dir="ltr">This study investigates the adsorption efficiency of Methylene Blue (MB) dye using tea waste as a cost-effective and environmentally friendly adsorbent. The impact of various parameters on MB removal was assessed, including solution pH, adsorbent dosage, pollutant concentration, and contact time. …"
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Performance Investigation of O-Ring Vacuum Membrane Distillation Module for Water Desalination
منشور في 2016"…The feed temperature, feed flow rate, and vacuum degree play an important role in enhancing the performance of the VMD process; therefore, optimizing all of these parameters is the best way to achieve a high permeate flux. …"
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Nutrient recovery and hydrogen production from wastewater by electrodialysis process: Optimization using response surface methodology
منشور في 2025"…The individual and combined effects of these parameters on ED performance were analyzed. …"
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Synthesis of biochar from tamarind seed: experimental optimization using response surface methodology design
منشور في 2025"…Response surface methodology based on Box–Behnken design was utilized to optimize three experimental parameters, namely, the hydrothermal carbonization temperature, the reaction time, and the concentration of the chemical activator (H<sub>3</sub>PO<sub>4</sub>). …"
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Performance Optimization of Photovoltaic Thermal System under UAE Climate Condition: Experimental and Simulation Analysis
منشور في 2021"…The simulation model was used to optimize the PVT performance by changing some of the design parameters. …"
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Reinforcement Learning-Based E-Scooter Energy Minimization Using Optimized Speed-Route Selection
منشور في 2024"…Moreover, we introduced a user dissatisfaction model that accounts for traffic conditions, congestion, and ambient temperature to enhance the user experience. The optimization problem was then formulated and solved with Deep Reinforcement Learning (DRL-DQN) approach considering the time-varying environment, road-specific parameters (i.e., road angle, road shading, road speed limit, and road condition), and user dissatisfaction levels. …"