Results 301 to 310 of about 644,997 (352)

Pressure Vessel Design Simulation: Implementing of Multi-Swarm Particle Swarm Optimization

International Conference on Software and Computer Applications, 2019
The new era knowledge of optimization algorithm is massively boosted recently. Among several optimization models, multi-swarm approach has been proposed most recently for balancing the exploration and exploitation capability through the Particle Swarm ...
Sinan Q. Salih, Abdulrahman A. Alsewari, Z. Yaseen   +2 more
semanticscholar   +1 more source

MCPSO: A multi-swarm cooperative particle swarm optimizer

Applied Mathematics and Computation, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Niu, Ben, Zhu, Yunlong, He, Xiaoxian, Wu, Henry   +3 more
openaire   +2 more sources

Hybrid multi-swarm optimization based NoC synthesis

2017 30th IEEE International System-on-Chip Conference (SOCC), 2017
Network-on-Chip (NoC) has been proposed as an interconnection framework for connecting large number of cores for a System-on-Chip (SoC). Assuming a mesh-based NoC, we explore the assignment of cores to cross-points and produce a best NoC configuration with minimum average communication traffic, power consumption and chip area.
Muhammad Obaidullah, Gul N. Khan
openaire   +1 more source

Multi-swarm hybrid for multi-modal optimization

2012 IEEE Congress on Evolutionary Computation, 2012
Multi-swarm systems base their search on multiple sub-swarms instead of one standard swarm. The use of diverse sub-swarms increases performance when optimizing multi-modal functions. However, new design decisions arise when implementing multi-swarm systems such as how to select the initial positions and initial velocities, and how to coordinate the ...
Antonio Bolufe Rohler, Stephen Chen
openaire   +1 more source

Total Optimization of Energy Networks in a Smart City by Multi-Swarm Differential Evolutionary Particle Swarm Optimization

IEEE Transactions on Sustainable Energy, 2019
This paper proposes total optimization of energy networks in a smart city (SC) by multi-swarm differential evolutionary particle swarm optimization (MS-DEEPSO).
M. Sato, Y. Fukuyama, T. Iizaka, T. Matsui   +3 more
semanticscholar   +1 more source

Research on Swarm Size of Multi-swarm Particle Swarm Optimization Algorithm

2018 IEEE 4th International Conference on Computer and Communications (ICCC), 2018
Particle swarm optimization (PSO) is an algorithm widely used to solve optimization problems. Multi-swarm particle swarm optimization (MSPSO) is a form of particle swarm optimization (PSO).
Yong Shen, Yan Li, Hongwei Kang, Yuhao Zhang, X. Sun, Qingyi Chen, Jian Peng, Haoyu Wang   +7 more
semanticscholar   +1 more source

Multi-swarm optimization algorithm for dynamic optimization problems using forking

2008 Chinese Control and Decision Conference, 2008
Inspired by a forking mechanism, a new multi-swarm optimization algorithm is proposed for addressing dynamic optimization problems in this paper. In this algorithm, a larger main swarm is continuously responsible for searching for new peaks and a number of smaller child swarm, divided from main swarm, are used to track the achieved peaks over time ...
null Hongfeng Wang, null Na Wang, null Dingwei Wang   +2 more
openaire   +1 more source

Fully Learned Multi-swarm Particle Swarm Optimization

2014
This paper presents a new variant of PSO, called fully learned multi-swarm particle swarm optimization (FLMPSO) for global optimization. In FLMPSO, the whole population is divided into a number of sub-swarms, in which the learning probability is employed to influence the exemplar of each individual and the center position of the best experience found ...
Ben Niu, Huali Huang, Bin Ye, Lijing Tan, Jane Jing Liang   +4 more
openaire   +1 more source

Cooperative Multi-Swarms Particle Swarm Optimizer for dynamic environment optimization

2008 27th Chinese Control Conference, 2008
Optimization problem in the dynamic environment is not only to locate a optimum, but track the moving optimum as close as possible. Particle swarm optimizer, a kind parallel random optimization method based on swarm intelligence, exhibits good performance for optimization problem.
null Wang Guang-Hui, null Chen Jie, null Pan Feng   +2 more
openaire   +1 more source

Optimizing ternary hybrid nanofluids using neural networks, gene expression programming, and multi-objective particle swarm optimization: a computational intelligence strategy

Scientific Reports
The performance of nanofluids is largely determined by their thermophysical properties. Optimizing these properties can significantly enhance nanofluid performance.
Tao Hai, Ali Basem, As’ad Alizadeh, Pradeep Kumar Singh, Husam Rajab, Chemseddine Maatki, Nidhal Becheikh, L. Kolsi, N. Singh, Sawaran Singh, Maleki   +10 more
semanticscholar   +1 more source