Recent advances in particle swarm
Recent advances in particle swarm Page 1 Recent Advances in Particle Swarm Xiaohui Hu
Yuhui Shi Russ Eberhart Department of Biomedical Engineering EDS Embeded Systems …
Yuhui Shi Russ Eberhart Department of Biomedical Engineering EDS Embeded Systems …
A systematic study on meta-heuristic approaches for solving the graph coloring problem
T Mostafaie, FM Khiyabani, NJ Navimipour - Computers & Operations …, 2020 - Elsevier
Abstract Typically, Graph Coloring Problem (GCP) is one of the key features for graph
stamping in graph theory. The general approach is to paint at least edges, vertices, or the …
stamping in graph theory. The general approach is to paint at least edges, vertices, or the …
Particle swarm optimization: developments, applications and resources
Y Shi - Proceedings of the 2001 congress on evolutionary …, 2001 - ieeexplore.ieee.org
This paper focuses on the engineering and computer science aspects of developments,
applications, and resources related to particle swarm optimization. Developments in the …
applications, and resources related to particle swarm optimization. Developments in the …
[图书][B] Modern heuristic optimization techniques: theory and applications to power systems
KY Lee, MA El-Sharkawi - 2008 - books.google.com
This book explores how developing solutions with heuristic tools offers two major
advantages: shortened development time and more robust systems. It begins with an …
advantages: shortened development time and more robust systems. It begins with an …
A particle swarm optimization for reactive power and voltage control considering voltage security assessment
H Yoshida, K Kawata, Y Fukuyama… - … on power systems, 2000 - ieeexplore.ieee.org
This paper presents a particle swarm optimization (PSO) for reactive power and voltage
control (volt/VAr control: VVC) considering voltage security assessment (VSA). VVC can be …
control (volt/VAr control: VVC) considering voltage security assessment (VSA). VVC can be …
An analysis of particle swarm optimizers
F Van Den Bergh - 2007 - repository.up.ac.za
Many scientific, engineering and economic problems involve the optimisation of a set of
parameters. These problems include examples like minimising the losses in a power grid by …
parameters. These problems include examples like minimising the losses in a power grid by …
Particle swarm optimization versus genetic algorithms for phased array synthesis
DW Boeringer, DH Werner - IEEE Transactions on antennas …, 2004 - ieeexplore.ieee.org
Particle swarm optimization is a recently invented high-performance optimizer that is very
easy to understand and implement. It is similar in some ways to genetic algorithms or …
easy to understand and implement. It is similar in some ways to genetic algorithms or …
Particle swarm optimization and differential evolution algorithms: technical analysis, applications and hybridization perspectives
Since the beginning of the nineteenth century, a significant evolution in optimization theory
has been noticed. Classical linear programming and traditional non-linear optimization …
has been noticed. Classical linear programming and traditional non-linear optimization …