A Social- And Knowledge-Based Coalition Formation Using Modified Combinatorial Particle Swarm Optimization

The thesis main objective is to develop a new framework for social- and knowledge-based coalition formation (SKCF). The related sub-objectives are: 1) to define coalition and social factors to form a coalition formation model, 2) to develop a knowledge representation scheme to store knowledge of for...

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Main Author:	Kassim, Azleena Mohd
Format:	Thesis
Language:	English
Published:	2017
Subjects:	QA75.5-76.95 Electronic computers Computer science
Online Access:	http://eprints.usm.my/47901/1/A%20SOCIAL-%20AND%20KNOWLEDGE-BASED.pdf%20cut.pdf
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id	my-usm-ep.47901
record_format	uketd_dc
spelling	my-usm-ep.479012020-11-16T03:26:30Z A Social- And Knowledge-Based Coalition Formation Using Modified Combinatorial Particle Swarm Optimization 2017-12 Kassim, Azleena Mohd QA75.5-76.95 Electronic computers. Computer science The thesis main objective is to develop a new framework for social- and knowledge-based coalition formation (SKCF). The related sub-objectives are: 1) to define coalition and social factors to form a coalition formation model, 2) to develop a knowledge representation scheme to store knowledge of formed coalitions, and 3) to develop an effective algorithm to optimize the coalition which can also be treated as a clustering problem. In order to realize these objectives, the coalition factors are compiled from existing coalition formation work, whereas social factors are chosen to satisfy the coalition’s payoff to address the selfish agent approach. 2017-12 Thesis http://eprints.usm.my/47901/ http://eprints.usm.my/47901/1/A%20SOCIAL-%20AND%20KNOWLEDGE-BASED.pdf%20cut.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Sains Komputer (School of Computer Sciences)
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	QA75.5-76.95 Electronic computers Computer science
spellingShingle	QA75.5-76.95 Electronic computers Computer science Kassim, Azleena Mohd A Social- And Knowledge-Based Coalition Formation Using Modified Combinatorial Particle Swarm Optimization
description	The thesis main objective is to develop a new framework for social- and knowledge-based coalition formation (SKCF). The related sub-objectives are: 1) to define coalition and social factors to form a coalition formation model, 2) to develop a knowledge representation scheme to store knowledge of formed coalitions, and 3) to develop an effective algorithm to optimize the coalition which can also be treated as a clustering problem. In order to realize these objectives, the coalition factors are compiled from existing coalition formation work, whereas social factors are chosen to satisfy the coalition’s payoff to address the selfish agent approach.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Kassim, Azleena Mohd
author_facet	Kassim, Azleena Mohd
author_sort	Kassim, Azleena Mohd
title	A Social- And Knowledge-Based Coalition Formation Using Modified Combinatorial Particle Swarm Optimization
title_short	A Social- And Knowledge-Based Coalition Formation Using Modified Combinatorial Particle Swarm Optimization
title_full	A Social- And Knowledge-Based Coalition Formation Using Modified Combinatorial Particle Swarm Optimization
title_fullStr	A Social- And Knowledge-Based Coalition Formation Using Modified Combinatorial Particle Swarm Optimization
title_full_unstemmed	A Social- And Knowledge-Based Coalition Formation Using Modified Combinatorial Particle Swarm Optimization
title_sort	social- and knowledge-based coalition formation using modified combinatorial particle swarm optimization
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Sains Komputer (School of Computer Sciences)
publishDate	2017
url	http://eprints.usm.my/47901/1/A%20SOCIAL-%20AND%20KNOWLEDGE-BASED.pdf%20cut.pdf
_version_	1747821845356216320

A Social- And Knowledge-Based Coalition Formation Using Modified Combinatorial Particle Swarm Optimization

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