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201
Optimal ecological restoration strategy development based on value-cost trade-offs
Published 2025-04-01“…In addition, we searched for Pareto-optimal solutions using the nondominated sorting genetic algorithm II (NSGA-II) to balance the trade-offs between different objectives. …”
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202
BDCOA: Wavefront Aberration Compensation Using Improved Swarm Intelligence for FSO Communication
Published 2024-11-01Get full text
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203
Improving aquifer vulnerability assessment and its explainability in the Zanjan aquifer: Integrating DRASTIC model and optimized long short-term memory-based metaheuristic algorith...
Published 2025-06-01“…The LSTM model was optimized using the particle swarm optimizer (PSO) and equilibrium optimizer (EO) metaheuristic algorithms. …”
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204
Research on Two-Stage Energy Storage Optimization Configurations of Rural Distributed Photovoltaic Clusters Considering the Local Consumption of New Energy
Published 2024-12-01“…Taking a Chinese village as an example, the proposed model is optimized with an improved particle swarm optimization algorithm. …”
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205
Development of an Improved KOA Algorithm for Solving Task Allocation in Hilly Orchards With Weeding Robots
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206
The Local Path Planning Algorithm for Amphibious Robots Based on an Improved Dynamic Window Approach
Published 2025-02-01“…The speed resolution adaptive adjustment algorithm improves the ability to pass through a complex multiple-obstacle area, and the dynamic obstacle prediction algorithm optimizes obstacle avoidance paths. …”
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207
Optimisation of decision making for construction projects of assembly buildings based on improved PSO algorithm
Published 2025-03-01“…The improved particle swarm algorithm converges to an optimal solution of –19.208 within 20 iterations on the Holder function, with an optimal domain of [8.055, –9.665]. …”
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208
Landslide Forecasting Model Based on PCA and Improved CS-RBF
Published 2024-08-01“…The dimensionality-reduced data is then input into the RBF neural network for landslide probability forecasting. Secondly, an improved Cuckoo Search algorithm is used for parameter optimization to improve the accuracy of landslide probability forecasting. …”
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209
An Improved KF-RBF Based Estimation Algorithm for Coverage Control with Unknown Density Function
Published 2019-01-01“…Compared with the other estimation algorithms, a novel sampling regulation mechanism is designed to improve the estimation performance and reduce the computational load. …”
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210
An Improved Symbiosis Particle Swarm Optimization for Solving Economic Load Dispatch Problem
Published 2021-01-01“…In addition, two different kinds of practical examples were also adopted for algorithm evaluation. From the simulation results, it can be seen clearly that the costs of electric-power generation gained were the lowest compared with the results of particle swarm optimization algorithm, improved chaos particle swarm optimization algorithm, and symbiotic organisms search algorithm, well demonstrating the effectiveness of the improved symbiosis particle swarm optimization algorithm in solving the economic load dispatch problem.…”
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211
Increasing integration of wind energy through the joint operation of electric vehicles and the grid using the intelligent spider monkey algorithm
Published 2025-04-01“…A significant innovation involves demonstrating that prohibitive constraints on simultaneous charging and discharging can, under specific conditions, be relaxed without compromising system stability, thereby simplifying the optimization process. The optimization problem is formulated as a single objective problem and solved using an improved spider monkey optimization algorithm. …”
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212
An Improved Spider Wasp Optimizer for Green Vehicle Route Planning in Flower Collection
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213
Long short‐term memory‐based forecasting of uncertain parameters in an islanded hybrid microgrid and its energy management using improved grey wolf optimization algorithm
Published 2024-12-01“…Results demonstrate that the improved grey wolf optimization (IGWO) algorithm is more effective at reducing costs and provides faster optimal solutions.…”
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214
Puma algorithm for environmental emissions and generation costs minimization dispatch in power systems
Published 2025-03-01“…The POO algorithm consistently outperforms other algorithms in minimizing both generation and emission costs across all loading levels, with improvement percentages ranging from approximately 1.221 % to 1.6 % compared to OOA, 0.59 % to 0.86 % compared to AO, 2.47 % to 3.42 % compared to SMA, 0.89 % to 1.67 % compared to Coati and 0.03 % to 0.13 % compared to ARO. …”
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215
Distributed Optimization Strategy for Voltage Regulation in PV-Integrated Power Systems with Limited Sensor Deployment
Published 2025-07-01“…The methodology integrates an adaptive step size algorithm within a dynamic projected primal–dual distributed optimization framework, eliminating manual parameter tuning requirements while ensuring theoretical convergence guarantees through Lyapunov stability analysis. …”
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216
Synchronous End-to-End Vehicle Pedestrian Detection Algorithm Based on Improved YOLOv8 in Complex Scenarios
Published 2024-09-01“…To address these challenges, this paper proposes an improved vehicle and pedestrian detection algorithm based on YOLOv8, with the aim of enhancing detection in complex traffic scenes. …”
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217
Continuous prediction of knee joint angle in lower limbs based on sEMG: a method combining an improved ZOA optimizer and attention-enhanced GRU
Published 2025-07-01“…This study proposes a novel approach for continuous knee joint angle prediction based on surface electromyography (sEMG), integrating an Improved Zebra Optimization Algorithm (IZOA) with an attention-enhanced Gated Recurrent Unit (GRU) network. …”
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218
Productivity Improvement of Garments Industry by Implementing Line Balancing Algorithms—A Case Study
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219
Coverage and connectivity maximization for wireless sensor networks using improved chaotic grey wolf optimization
Published 2025-05-01“…This study presents an Improved Chaotic Grey Wolf Optimization (ICGWO) algorithm to enhance WSN coverage and connectivity while addressing challenges like high deployment costs, limited coverage, and insufficient connectivity. …”
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220
Internet of Things Based Application Placement Technique in Fog Environment
Published 2025-05-01“…A pre-scheduling method is developed to efficiently allocate tasks by analyzing workflows to reduce computation delays and energy usage. Leveraging an Improved Memetic Algorithm (IMA), this strategy enables effective scheduling of parallel IoT workflows across fog and cloud servers, ensuring balanced resource utilization and enhanced scalability. …”
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