Two dimension threshold image segmentation based on improved particle swarm algorithm基于改进粒子群算法的二维阈值图像分割图像分割二维Otsu方法粒子群算法量子粒子群算法2D Otsu method,which considers the gray information and spatial neighbor information between pixels in the image simultaneously,is an efficient ...
particle swarm’s tracking of current global optimal solution can be used to ensure the convergence of the algorithm. Several benchmark thinking. The third part is social action of particle,functions have been used to test the algorithm in this reflecting information sharing and mutual cooperation ...
This paper presents an improved particle swarm optimization (IPSO) algorithm for solving the STHTS problem considering valve point loading for fixed head hydro-thermal system. Various other heuristic algorithms such as basic PSO, modified PSO, differential evolution, real variable genetic algorithm (R...
Keywords:brushlessDCmotor;particleswarmoptimizationalgorithm;fuzzycontrol;learningfactor;inertia weight 0 引言 无刷直流电机(BLDCM)具有结构简单、易于维 护、调速性能好等优势,在许多领域得到了广泛应 用.传统的电机调速一般采用模糊PID或模糊PI控 制技术,因其参数易调整且结构简单 [1] .但随着控 制系统的复杂程度...
Second, the particle optimization algorithm is easy to get into the local optimization problem; that is, there is a problem of incomplete integration [5]. Particle optimization when solving the problem of optimizing high-dimensional or ultra-high-dimensional complex functions, particle swarm ...
This paper proposes a method based on AP clustering and an improved particle swarm algorithm for radio frequency identification (RFID) indoor positioning, called the AP-PSO method. Firstly, an AP clustering algorithm is used to cluster the RSSI values of the experimental region tags with similarity...
An improved particle swarm algorithm to solve multi-objective problems is proposed. The algorithm uses both the information transfer strategy of particle swarm algorithm and the archiving technique which is commonly used in multi-objective evolutionary algorithms. Environmental selection and matching selection...
To resolve these issues, we present an automated classification method using deep learning and an improved particle swarm optimization (IPSO) algorithm. Contributions: The major contributions of this study are as follows: (i) MRI scan contrast is improved using an evolutionary approach, i.e., ant...
To resolve these issues, we present an automated classification method using deep learning and an improved particle swarm optimization (IPSO) algorithm. Contributions: The major contributions of this study are as follows: (i) MRI scan contrast is improved using an evolutionary approach, i.e., ant...
Reactive power optimization of power system is a complicated multi-objective, multi-constraint combination optimization problem, particle swarm optimization (PSO) algorithm is the most commonly used algorithm to solve this problem. Aiming at the disadvantages of PSO algorithm, this paper came up with ...