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221
A Fast Algorithm of Generalized Radon-Fourier Transform for Weak Maneuvering Target Detection
Published 2016-01-01“…The BSSL learning-based particle swarm optimization (BPSO) has been proposed before to reduce the computational burden of GRFT and solve the BSSL problem simultaneously. …”
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222
Algorithm PSO for maximum coverage of users using drones to find optimal points for deployment
Published 2024-06-01“…For this reason, using the Particle Swarm Optimization (PSO) algorithm, we try to introduce drones as ABS to find the maximum coverage of users in the shortest possible time. …”
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223
Machine Learning-Based Modeling with Optimization Algorithm for Predicting Mechanical Properties of Sustainable Concrete
Published 2021-01-01“…Particle swarm optimization (PSO) algorithm was used to fine-tune the hyperparameter of the proposed MEP. …”
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224
Identification of Alcoholism Based on Wavelet Renyi Entropy and Three-Segment Encoded Jaya Algorithm
Published 2018-01-01“…The proposed TSE-Jaya provides a better performance, compared to the conventional approaches including plain Jaya, multiobjective genetic algorithm, particle swarm optimization, bee colony optimization, modified ant colony system, and real-coded biogeography-based optimization.…”
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225
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226
Gradual Optimization of University Course Scheduling Problem Using Genetic Algorithm and Dynamic Programming
Published 2025-03-01“…The university course scheduling problem (UCSP) is a challenging combinatorial optimization problem that requires optimization of the quality of the schedule and resource utilization while meeting multiple constraints involving courses, teachers, students, and classrooms. Although various algorithms have been applied to solve the UCSP, most of the existing methods are limited to scheduling independent courses, neglecting the impact of joint courses on the overall scheduling results. …”
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227
Comparative analysis of metaheuristic load balancing algorithms for efficient load balancing in cloud computing
Published 2023-06-01“…In previous research, Metaheuristic based strategies have been confirmed to accomplish accurate solutions under a decent period for those kinds of issues. …”
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228
A Review of QoS-Driven Task Scheduling Algorithms and Their Impact on Data Quality in Process Management
Published 2025-02-01“…According to this study, the scheduling algorithms that are used by researchers 80% of the time include the genetic algorithm in bio-inspired systems and particle swarm optimization in swarm intelligence. …”
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229
Relocation of Moderate-to-small Earthquakes in and Around Hainan Island
Published 2025-03-01“…Since the 2019 Sanya M 4.2 earthquake, a series of moderate-to-small seismic swarms have been developed in southwestern Hainan Island. …”
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230
Optimization of the Hollow Rectification Sill in the Forebay of the Pump Station Based on the PSO-GP Collaborative Algorithm
Published 2021-01-01“…Through the optimization by the PSO-GP algorithm, we can get the optimal size of the hollow rectification sill. …”
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231
Comparison of Maximum Power Point Tracking Methods Using Metaheuristic Optimization Algorithms for Photovoltaic Systems
Published 2021-08-01“…In the simulation studies, the output powers obtained by the application of particle swarm optimization, cuckoo optimization, bat optimization and firefly optimization techniques as MPPT algorithm has been compared. …”
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232
Robust peer-to-peer learning via secure multi-party computation
Published 2023-11-01Get full text
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233
An intelligence technique for route distance minimization to store and marketize the crop using computational optimization algorithms
Published 2025-08-01“…This research aims to develop connectivity across many cold storage facilities utilizing the traveling salesperson problem algorithm. Various computational intelligence algorithms such as Greedy Algorithm, Simulated Annealing, 2-opt Algorithm, Particle Swarm Optimization, and Ant Colony Optimization are employed to determine the minimum route. …”
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234
Modified Hybrid PSO Algorithm for Efficient Control of the Matrix Converter-Fed Electrical Drive System
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235
A New Damage Detection Method: Big Bang-Big Crunch (BB-BC) Algorithm
Published 2013-01-01“…More over BB-BC optimization method in damage detection is compared with particle swarm optimizer with passive congregation (PSOPC) algorithm. …”
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236
Recent Efficient Iterative Algorithms on Cognitive Radio Cooperative Spectrum Sensing to Improve Reliability and Performance
Published 2016-01-01“…In fact, all steps of genetic algorithm (GA), particle swarm optimization (PSO), and imperialistic competitive algorithm (ICA) will be well mentioned in detail and investigated on cognitive radio cooperative spectrum sensing (CRCSS) method. …”
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237
An analysis of unconventional grid sizes for wind farm layout optimization using a genetic algorithm
Published 2025-01-01“…Due to the sheer complexity of the problem, evolutionary and swarm intelligence algorithms have been employed for wind farm layout optimization. …”
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238
GLOPS: A Hybrid Approach for Enhanced Scheduling in Cloud Computing Environments via Machine Learning-Based Process Prediction
Published 2025-01-01“…However, early predictions would seem futile without efficient scheduling, which is why the article further proposes Global and Local Optimized Preemptive Scheduling (GLOPS), an enhanced metaheuristic scheduling algorithm employing Particle Swarm Optimization and Simulated Annealing. …”
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239
Parameter Design and Performance Optimization of Aerostatic Bearing
Published 2020-08-01“…In this paper, problems such as loadcarrying capacity, low stiffness, and vibration caused by large volume flow rate of aerostatic bearing has been studied In order to solve these problems, the particle swarm optimization algorithm is used to optimize the key parameters of throttle orifice on aerostatic bearing The simplified twodimensional Reynolds equation is solved by finite element method and the mathematical model is built Based on this model, the main performance parameters such as loadcarrying capacity, stiffness and volume flow rate of aerostatic bearing are calculated The coupling relationship between the structural dimension parameters which determining the main performance of aerostatic bearing is analyzed The multiobjective optimization design of the structural dimension parameters is carried out by particle swarm optimization With the simulation calculation of the aerostatic bearing, the loadcarrying capacity, stiffness, volume flow rate and other relevant performances are calculated The main performance of the optimized aerostatic bearing is compared with the original data The results show that compared with the performance before optimization, the loadcarrying capacity, stiffness of the aerostatic bearing are increased by 17%, 363% and the volume flow rate is decreased by 434% And the problems such as low loadcarrying capacity, low stiffness, and vibration caused by large volume flow rate of aerostatic bearing has been solved…”
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240
Research on Health Monitoring of Flying-Swallow-Typed Tied Arch Bridge Based on PSO-GRNN Algorithm
Published 2024-01-01Get full text
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