-
301
Acoustic Identification Method of Partial Discharge in GIS Based on Improved MFCC and DBO-RF
Published 2025-03-01Subjects: Get full text
Article -
302
Optimum iterative water-filling algorithm for cognitive MIMO MAC
Published 2011-11-01“…The sum-rate maximization problem of the cognitive multiple-input multiple-output multiple access channel (MIMO MAC) under transmit power and interference temperature constraints was addressed.By exploiting the partial dual decomposition technique to relax the interference temperature constraint,the original problem was decomposed into more tractable subproblems.An iterative algorithm,in which the dual variable update and the iterative water-filling computation were performed alternately,was proposed to obtain the optimum transmit covariance matrices that achieved the maximum sum-rate.Finally,simulation results have been presented to verify the effectiveness of the algorithm.…”
Get full text
Article -
303
Optimum iterative water-filling algorithm for cognitive MIMO MAC
Published 2011-11-01“…The sum-rate maximization problem of the cognitive multiple-input multiple-output multiple access channel (MIMO MAC) under transmit power and interference temperature constraints was addressed.By exploiting the partial dual decomposition technique to relax the interference temperature constraint,the original problem was decomposed into more tractable subproblems.An iterative algorithm,in which the dual variable update and the iterative water-filling computation were performed alternately,was proposed to obtain the optimum transmit covariance matrices that achieved the maximum sum-rate.Finally,simulation results have been presented to verify the effectiveness of the algorithm.…”
Get full text
Article -
304
An Adaptive Scheduling Method for Standalone Microgrids Based on Deep Q-Network and Particle Swarm Optimization
Published 2025-04-01Subjects: Get full text
Article -
305
-
306
-
307
-
308
Optimization of stamping workshop line layout based on improved PSO algorithm
Published 2025-03-01Subjects: “…Improved particle swarm optimization algorithm…”
Get full text
Article -
309
Memory-Based Differential Evolution Algorithms with Self-Adaptive Parameters for Optimization Problems
Published 2025-05-01Get full text
Article -
310
Hybridization of the Snake Optimizer and Particle Swarm Optimization for continuous optimization problems
Published 2025-07-01Subjects: Get full text
Article -
311
Recursive algorithms of adaptive lattice filters adjustment
Published 2016-06-01Subjects: Get full text
Article -
312
Multi-UAV path planning considering multiple energy consumptions via an improved bee foraging learning particle swarm optimization algorithm
Published 2025-04-01“…To tackle the MUAVPP-MEC, this study proposes an improved Bee Foraging Learning Particle Swarm Optimization algorithm (IBFLPSO), which integrates the bee-foraging algorithm into the particle swarm optimization framework. …”
Get full text
Article -
313
Flexible and Scalable Particle‐in‐Cell Methods With Adaptive Mesh Refinement for Geodynamic Computations
Published 2018-09-01Subjects: “…Particle in cell method…”
Get full text
Article -
314
Solving Multidimensional Partial Differential Equations Using Efficient Quantum Circuits
Published 2025-03-01“…In this work, we propose an innovative algorithm to solve multidimensional PDEs with two variants. …”
Get full text
Article -
315
The Application of Compound Control Algorithm in Photovoltaic System MPPT
Published 2020-06-01“…Aiming at the problem that the output array exhibits multipeak characteristics when the PV array is partially shaded or unevenly illuminated, the traditional singlepeak MPPT algorithm is difficult to track the maximum power point A hybrid algorithm is proposed to improve the particle swarm combined with the sliding mode search Firstly, the probability judgment criterion of improved simulated annealing algorithm is introduced into the standard particle swarm optimization algorithm; the law of inertia weight change is improved; the disturbance parameter is added to the learning factor Secondly, using the sliding mode extreme value search algorithm, the suspected optimal value obtained by the particle swarm optimization algorithm is continuously optimized, and finally the maximum power point is found The simulation results show that the composite control algorithm can track the maximum power point quickly and accurately under different shadow conditions, and avoid the system falling into the local optimum value…”
Get full text
Article -
316
Path Planning of Library Management Robot Based on PDO-ACO Algorithm
Published 2025-01-01“…The method combines the negative feedback improved ant colony algorithm and particle difference optimization algorithm to enhance the accuracy, stability and environmental adaptability of path planning. …”
Get full text
Article -
317
-
318
Finding Reliability of Slopes by Optimization of ANFIS with GA, FFA and PSO
Published 2025-10-01Subjects: Get full text
Article -
319
Self-adapted task allocation algorithm with complicated coalition in wireless sensor network
Published 2014-03-01“…Considering the real-time requirement and some specific limitations (e.g.insufficient computing resource,energy constraint,etc) in task scheduling of wireless sensor networks,different priorities were assigned to tasks according to their deadline,and an adaptive task allocation algorithm with complicated coalition was designed through analyzing historical information.Moreover,a discrete particle swarm optimization algorithm was designed via employing binary matrix coding form.The proposed optimization algorithm generates coalitions in parallel and then performs subtask allocation algorithm based on load and energy balance.Finally,the experimental results show that the proposed algorithm strikes a good balance between local solution and global exploration,and achieves a satisfactory result within a short period of time.…”
Get full text
Article -
320
Self-adapted task allocation algorithm with complicated coalition in wireless sensor network
Published 2014-03-01“…Considering the real-time requirement and some specific limitations (e.g.insufficient computing resource,energy constraint,etc) in task scheduling of wireless sensor networks,different priorities were assigned to tasks according to their deadline,and an adaptive task allocation algorithm with complicated coalition was designed through analyzing historical information.Moreover,a discrete particle swarm optimization algorithm was designed via employing binary matrix coding form.The proposed optimization algorithm generates coalitions in parallel and then performs subtask allocation algorithm based on load and energy balance.Finally,the experimental results show that the proposed algorithm strikes a good balance between local solution and global exploration,and achieves a satisfactory result within a short period of time.…”
Get full text
Article