Environmental/economic dispatch using genetic algorithm and fuzzy number ranking method

Zhano, G; Zhang, G; Lu, J; Lu, H

Environmental/economic dispatch using genetic algorithm and fuzzy number ranking method

Zhano, G Zhang, G Lu, J

Lu, H

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Publication Type:: Conference Proceeding
Citation:: Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006, 2006, pp. 59 - 66
Issue Date:: 2006-01-01

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Field	Value	Language
dc.contributor.author	Zhano, G	en_US
dc.contributor.author	Zhang, G	en_US
dc.contributor.author	Lu, J https://orcid.org/0000-0003-0690-4732	en_US
dc.contributor.author	Lu, H https://orcid.org/0000-0001-5655-0237	en_US
dc.date.issued	2006-01-01	en_US
dc.identifier.citation	Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006, 2006, pp. 59 - 66	en_US
dc.identifier.isbn	9812566902	en_US
dc.identifier.isbn	9789812566904	en_US
dc.identifier.uri	http://hdl.handle.net/10453/1828
dc.description.abstract	© 2006 by World Scientific Publishing Co. Pte. Ltd. This paper establishes a novel environmental/ economic load dispatch model in which the cost and emission functions are with uncertain coefficients. To solve the problem, this study first converts the model into a single objective optimization problem by using a novel weighting ideal point method. A hybrid genetic algorithm with quasi-simplex techniques is then developed to solve the corresponding single objective optimization problem. Fuzzy number ranking method is also applied to compare all fuzzy function values of different points for the single objective function. The test results have convinced the validity of the model and effectiveness of the algorithm used for achieving a solution for the economic dispatch problem.	en_US
dc.relation.ispartof	Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006	en_US
dc.relation.isbasedon	10.1142/9789812774118_0012	en_US
dc.title	Environmental/economic dispatch using genetic algorithm and fuzzy number ranking method	en_US
dc.type	Conference Proceeding
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Genova, Italy	en_US
dc.location.activity	Yeppoon, Australia
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

© 2006 by World Scientific Publishing Co. Pte. Ltd. This paper establishes a novel environmental/ economic load dispatch model in which the cost and emission functions are with uncertain coefficients. To solve the problem, this study first converts the model into a single objective optimization problem by using a novel weighting ideal point method. A hybrid genetic algorithm with quasi-simplex techniques is then developed to solve the corresponding single objective optimization problem. Fuzzy number ranking method is also applied to compare all fuzzy function values of different points for the single objective function. The test results have convinced the validity of the model and effectiveness of the algorithm used for achieving a solution for the economic dispatch problem.

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http://hdl.handle.net/10453/1828