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Scientific planning of dynamic crops in complex agricultural landscapes based on adaptive optimization hybrid SA-GA method
Published 2025-08-01“…Abstract Effective dynamic agricultural planning is crucial for optimising resource allocation and ensuring income stability, yet conventional methods often face limitations in adapting to the complex and variable conditions of mountainous regions, particularly under fluctuating climate and market pressures. …”
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OPTIMIZING DEFINED BENEFIT PENSION PLAN FUNDING: COMBINING ENTRY AGE NORMAL METHOD AND SINGLE SALARY APPROACH
Published 2025-07-01“…This study aims to develop an optimized funding strategy for Defined Benefit Pension Plans by integrating the Entry Age Normal (EAN) method with the Single Salary Approach (SSA). …”
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223
Two-Stage Optimal Dispatching Method for Highway Service-Area Microgrid Considering Emergency Power-Supply Vehicles
Published 2025-04-01“…[Conclusions] Case analysis verifies the effectiveness of the proposed two-stage optimization scheduling method for the service-area microgrid in extreme scenarios. …”
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A Novel Method for Traffic Parameter Extraction and Analysis Based on Vehicle Trajectory Data for Signal Control Optimization
Published 2025-06-01“…Traditional methods also lack the ability to capture complete vehicle path information essential for signal optimization. …”
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A study on the prediction of mountain slope displacement using a hybrid deep learning model
Published 2025-05-01“…Abstract To address the challenges of large prediction errors and limited reliability in conventional modeling approaches, this study proposes a hybrid framework that integrates optimization and deep learning techniques. The method employs an Improved Whale Optimization Algorithm (IWOA) to fine-tune parameters for GNSS data fitting, ensuring accurate signal feature extraction. …”
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BESO Topology Optimization Driven by an ABAQUS-MATLAB Cooperative Framework with Engineering Applications
Published 2025-04-01“…The Bi-directional Evolutionary Structural Optimization (BESO) method, owing to its algorithmic simplicity and strong scalability, has emerged as one of the most prevalent topology optimization methodologies in current research and industrial applications. …”
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229
Test Case Prioritization Based on Neural Networks Classification: A Replication Study and Hyper-Parameter Optimization Using Taguchi Methods
Published 2025-01-01“…The Taguchi approach was utilized, implementing an L4 design to optimize the layers and <inline-formula> <tex-math notation="LaTeX">$hidden \ neurons$ </tex-math></inline-formula> parameters, while an L9 design also incorporated the epochs and <inline-formula> <tex-math notation="LaTeX">$batch \_size$ </tex-math></inline-formula> parameters. …”
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Firing rates in visual cortex show representational drift, while temporal spike sequences remain stable
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Model Optimization for High-Yield Biocrude in Co-Hydrothermal Liquefaction of Municipal Sludge
Published 2025-04-01“…Traditional disposal methods such as landfill and composting face bottlenecks including land resource constraints, greenhouse gas emissions, and heavy metal contamination, while incineration suffers from technical issues such as high energy consumption and dioxin pollution. …”
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233
Design of optimized tread profile for high-speed EMUs
Published 2025-03-01“…Through wheel-rail contact analysis, the underlying reason for low equivalent conicities in the interactions of the LMA tread profile with 60N and over-ground rails was identified. A reverse design method was then employed to enhance the nominal equivalent conicity while preserving the existing wheel-rail contact characteristics, resulting in the first-stage tread profile optimization, LMA_opt1. …”
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An integrated graph-spatial method for high-performance geospatial-temporal semantic query
Published 2025-03-01“…To address this issue, we propose GraST, a geospatial-temporal semantic query optimization method that integrates property graphs and relational databases. …”
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239
Investigation of technoeconomic optimization for sizing renewable energy systems using metaheuristic and hybrid algorithms
Published 2025-06-01“…This study focuses on optimizing grid-connected Hybrid Renewable Energy Systems (HRES) in Morocco using technoeconomic approaches, including metaheuristic algorithms such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Grey Wolf Optimization (GWO) and Artificial Bee Colony (ABC) and hybrid methods combining these latter with Modified Marquardt Gradient Descent (MGD). …”
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240
Tomato Yield Estimation Using an Improved Lightweight YOLO11n Network and an Optimized Region Tracking-Counting Method
Published 2025-06-01“…The improved lightweight YOLO11n model is adaptable to edge computing devices, enabling tomato yield estimation while maintaining high detection accuracy. An optimized region tracking-counting method was proposed, combining target tracking and region detection to count the detected fruits. …”
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