Solving optimization problems in communications networks using computational intelligence

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...

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Bibliographic Details
Main Author: Shi, Haixiang
Other Authors: Wang Lipo
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Online Access:https://hdl.handle.net/10356/3243
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Institution: Nanyang Technological University
Description
Summary: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 etc.) can be solved in shorter time with better solution quality.

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