Solving optimization problems in communications networks using computational intelligence
Computational intelligence is an effective method in solving combinatorial optimization problems. We proposed several new models of neural networks based on noisy and chaotic neural networks, by using these methods, NP-hard problems in communication networks (e.g., scheduling, routing, assignment et...
Main Author: | Shi, Haixiang |
---|---|
Other Authors: | Wang Lipo |
Format: | Thesis |
Published: |
2008
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/3243 |
Similar Items
-
Semi-supervised RVFL-based neural networks for solving classification problems
by: Yao, Cheng Hui
Published: (2021) -
Solving combinatorial optimization problems by soft computing
by: Li, Sa.
Published: (2008) -
Solving optimization problems in communications using neural networks
by: Liu, Wen
Published: (2009) -
Using AI / machine learning to solve real world problems
by: Lok, Ignatius Zhengrong
Published: (2021) -
Stock trading using computational intelligence
by: Zhu, Ming.
Published: (2010)