Results 271 to 280 of about 248,257 (327)

An Improved Particle Swarm Optimization Algorithm

Applied Mechanics and Materials, 2012
Based on the analyzing inertia weight of the standard particle swarm optimization (PSO) algorithm, an improved PSO algorithm is presented. Convergence condition of PSO is obtained through solving and analyzing the differential equation. By the experiments of four Benchmark function, the results show the performance of S-PSO improved more clearly than ...
Chang Yuan Jiang, Shu Guang Zhao, Li Zheng Guo, Chuan Ji   +3 more
openaire   +2 more sources

Improved Particle Swarm Optimization for Constrained Optimization

2013 International Conference on Information Technology and Applications, 2013
In this paper, we present an improved particle swarm optimization (PSO) algoritlim to solve constrained optimization problems. The proposed approach, called MPSO, employs a novel mutation operator to enhance the global search ability of PSO. In order to deal with constrains, MPSO uses mean violations mechanism and boundaries search.
Zhicheng Qu, Qingyan Li, Lei Yue
openaire   +1 more source

FCAN-MOPSO: An Improved Fuzzy-Based Graph Clustering Algorithm for Complex Networks With Multiobjective Particle Swarm Optimization

IEEE transactions on fuzzy systems, 2023
Performing an accurate clustering analysis is of great significance for us to understand the behavior of complex networks, and a variety of graph clustering algorithms have, thus, been proposed to do so by taking into account network topology and node ...
Lun Hu, Yue Yang, Zehai Tang, Yizhou He, Xin Luo   +4 more
semanticscholar   +1 more source

Simultaneous allocation of distributed energy resource using improved particle swarm optimization

Applied Energy, 2017
N. Kanwar, N. Gupta, K. R. Niazi, A. Swarnkar, R. Bansal   +4 more
semanticscholar   +3 more sources

An efficient approach to model updating for a multispan railway bridge using orthogonal diagonalization combined with improved particle swarm optimization

, 2020
In this paper, a novel approach to model updating for a large-scale railway bridge using orthogonal diagonalization (OD) coupled with an improved particle swarm optimization (IPSO) is proposed. Particle swarm optimization (PSO) is a well-known and widely
H. Tran-Ngoc, Leqia He, E. Reynders, S. Khatir, T. Le-Xuan, G. Roeck, T. Bui-Tien, M. Wahab   +7 more
semanticscholar   +1 more source

An Improved Particle Swarm Optimization

Applied Mechanics and Materials, 2013
By analyzing the current Particle Swarm Optimization, especially the analysis of weighting coefficient descending and random disturbance term improving, an improved Particle Swarm Optimization combining periodic weighting adjustment and random disturbance was put forward and its effectiveness is verified by experiments in this article.
openaire   +1 more source

Improved hybrid particle swarm optimization algorithm

2010 Sixth International Conference on Natural Computation, 2010
Particle swarm optimization algorithm(PSO, in short) is a heuristic global optimization algorithm based on swarm intelligence. Each particle of the swarm represents one candidate solution of the optimization problem. PSO searches the optimal region of optimization space through the interaction of particles.
Huoming Zhang, null Mingzheng Gao, null Xiaofei Zhang   +2 more
openaire   +1 more source

Velocity Improvement-Particle Swarm Optimization

2014
Traditional particle swarm optimization (PSO) is easy to fall into defects of local optimal value, slow convergence, and low accuracy. The speed factor of the particle swarm algorithm, which is essential for the particles to find the global optimal value, performs as the strategy of particles. Based on the smart thought, “teach him to fish, rather than
Yue Wang, Jian Liu
openaire   +1 more source

An improved particle swarm optimization algorithm for reliability-redundancy allocation problem with mixed redundancy strategy and heterogeneous components

Reliability Engineering & System Safety, 2019
The reliability–redundancy allocation problem (RRAP) has been intensively studied to identify the optimal system design under several constraints, so as to maximize the system reliability as much as possible. Recently, the mixed redundancy strategy where
Zhiyuan Ouyang, Yu Liu, Sheng-Jia Ruan, Tao Jiang   +3 more
semanticscholar   +1 more source

A hybrid fault diagnosis methodology with support vector machine and improved particle swarm optimization for nuclear power plants.

ISA transactions, 2019
The safety and public health during nuclear power plant operation can be enhanced by accurately recognizing and diagnosing potential problems when a malfunction occurs.
Hang Wang, M. Peng, J. Wesley Hines, Gang-yang Zheng, Yong-kuo Liu, B. Upadhyaya   +5 more
semanticscholar   +1 more source