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1161
Value chain optimization in large scale gas network considering elevation and transmission direction
Published 2025-07-01“…Numeric experiments demonstrate the method’s efficiency in generating high-quality solutions for the optimization problem.…”
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1162
A GD-PSO Algorithm for Smart Transportation Supply Chain ABS Portfolio Optimization
Published 2021-01-01“…Different from forward selection or linear optimization, which could have low efficiency for complicated problems with large sample size and multiple objectives, new methods and algorithms for NP-hard problems would be necessary to be investigated. …”
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1163
The Application of Graph Neural Networks in Power Systems from Perspective of Perception-Prediction-Optimization
Published 2024-12-01“…Conventional data analysis methods for Euclidean space often exhibit poor performance and low accuracy when representing the topological structures relationship with multi-source heterogeneous and irregular characteristics. …”
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1164
Three-dimensional finite-time optimal cooperative guidance with integrated information fusion observer
Published 2025-04-01“…The proposed FTOC guidance law employs a nonlinear, non-quadratic finite-time optimal control strategy designed for rapid convergence within the limited timeframes of near-space interceptions, avoiding the need for remaining flight time estimation or linear decoupling inherent in traditional methods. …”
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1165
Reinforcement Learning for Optimizing Renewable Energy Utilization in Buildings: A Review on Applications and Innovations
Published 2025-03-01“…One significant branch of modern control algorithms concerns reinforcement learning, a data-driven strategy capable of dynamically managing renewable energy sources and other energy subsystems under uncertainty and real-time constraints. …”
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1166
Designing the optimal number of active branches in a multi-branch buck-boost converter
Published 2025-07-01“…The novelty of the proposed work consists in the development of a precise method for determining the optimal number of branches in a multi-branch buck-boost converter for a specified output power. …”
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1167
Comparative analysis and application of rockburst prediction model based on secretary bird optimization algorithm
Published 2024-12-01“…The reliability of the proposed feature selection, model optimization, and data balancing methods was verified by comparing the optimal model with other methods. …”
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1168
Research on optimization technology of new pipeline design for regional natural gas pipeline network
Published 2025-07-01“…To meet future gas demand and enhance the efficiency of pipeline design, it is essential to review and analyze existing pipeline planning and design methods, as well as optimization algorithms. There is an urgent need to develop a set of design optimization methods suitable for complex pipeline network systems with multiple gas sources, numerous users, and aging pipeline infrastructures. …”
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1169
Chance-constrained optimal schedule of battery energy storage considering the uncertainties of renewable generation
Published 2025-06-01“…Since renewable energy generation has strong uncertainties and pure conventional unit dispatch schemes are limited by the unit-operating capacities, such scheduling is inapplicable for power systems with high proportions of renewable energy sources (RESs). We propose an optimal scheduling model for battery energy storage systems (BESSs) by considering the uncertainties of RESs. …”
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1170
An eigenvalue-driven framework for the ranking and selection of optimal geological CO2 storage sites
Published 2025-09-01Get full text
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1171
Thrombolytic activity and antibacterial activity optimize staphylokinase enzyme production from Staphylococcus aureus
Published 2025-03-01“…These conditions included a carbon source (glucose), a nitrogen source (yeast extract), an inoculum size of 1%, an incubation temperature of 37 °C, and a pH of 7. …”
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1172
Adaptive Control and Market Integration: Optimizing Distributed Power Resources for a Sustainable Grid
Published 2025-03-01“…This work presents a novel method based on a mix of renewable energy sources, energy storage technologies, and conventional generators for the optimization of DPR operations under dynamic market settings. …”
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1173
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1174
Multi-Objective Majority–Minority Cellular Automata Algorithm for Global and Engineering Design Optimization
Published 2024-09-01“…The MOMmCAA was implemented in MATLAB and its source code can be consulted in GitHub.…”
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1175
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1176
TMBocelot: an omnibus statistical control model optimizing the TMB thresholds with systematic measurement errors
Published 2025-01-01“…Given the unavoidable errors with current technologies, it is essential to adopt modeling methods to determine the optimal TMB-positive threshold. …”
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1177
Optimization of extraction and enrichment process of cannabidiol from industrial hemp and evaluation of its bioactivity
Published 2025-02-01“…., a perennial dioecious herb renowned for its industrial applications, serves as the source of hemp. Cannabidiol (CBD), a non-psychotropic compound derived from industrial hemp, has garnered considerable interest due to its promising therapeutic potential.MethodsThe extraction parameters for CBD from industrial hemp were optimized using the Box-Behnken design and response surface methodology (RSM). …”
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1178
Ensemble Learning-Based Wine Quality Prediction Using Optimized Feature Selection and XGBoost
Published 2025-10-01Get full text
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1179
Machine learning optimization of microwave-assisted extraction of phenolics and tannins from pomegranate peel
Published 2025-06-01“…However, there is still a lot of difficulty dealing with the extraction of these substances due to the limitations of traditional methods. Microwave-assisted extraction (MAE) has shown promise, but optimizing it for maximum efficiency and yield remains a challenge. …”
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1180
Optimizing energy and load management in island microgrids for enhancing resilience against resource interruptions
Published 2025-05-01“…In this paper, we propose a novel resilience-oriented energy and load management framework for island microgrids, integrating a multi-objective optimization function that explicitly minimizes load curtailment, energy losses, voltage deviations, emissions, and energy procurement costs while maximizing the utilization of renewable energy sources. …”
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