Solving combinatorial optimization problems by soft computing

This thesis is concerned with a novel algorithm, generalized from Chaotic Simulated Annealing (CSA) by adding a decreasing random noise into the neuron inputs in CSA to combine the best feature of both stochastic simulated annealing (SSA) and CSA, i.e., stochastic chaotic simulated annealing (SCSA)...

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Bibliographic Details
Main Author:	Li, Sa.
Other Authors:	Wang, Lipo
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Online Access:	http://hdl.handle.net/10356/4718
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-4718
record_format	dspace
spelling	sg-ntu-dr.10356-47182023-07-04T15:44:36Z Solving combinatorial optimization problems by soft computing Li, Sa. Wang, Lipo School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems This thesis is concerned with a novel algorithm, generalized from Chaotic Simulated Annealing (CSA) by adding a decreasing random noise into the neuron inputs in CSA to combine the best feature of both stochastic simulated annealing (SSA) and CSA, i.e., stochastic chaotic simulated annealing (SCSA). Master of Engineering 2008-09-17T09:57:15Z 2008-09-17T09:57:15Z 2003 2003 Thesis http://hdl.handle.net/10356/4718 Nanyang Technological University application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
topic	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Li, Sa. Solving combinatorial optimization problems by soft computing
description	This thesis is concerned with a novel algorithm, generalized from Chaotic Simulated Annealing (CSA) by adding a decreasing random noise into the neuron inputs in CSA to combine the best feature of both stochastic simulated annealing (SSA) and CSA, i.e., stochastic chaotic simulated annealing (SCSA).
author2	Wang, Lipo
author_facet	Wang, Lipo Li, Sa.
format	Theses and Dissertations
author	Li, Sa.
author_sort	Li, Sa.
title	Solving combinatorial optimization problems by soft computing
title_short	Solving combinatorial optimization problems by soft computing
title_full	Solving combinatorial optimization problems by soft computing
title_fullStr	Solving combinatorial optimization problems by soft computing
title_full_unstemmed	Solving combinatorial optimization problems by soft computing
title_sort	solving combinatorial optimization problems by soft computing
publishDate	2008
url	http://hdl.handle.net/10356/4718
_version_	1772826674366251008

Solving combinatorial optimization problems by soft computing

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