Multiobjective genetic algorithm solution to the optimum economic and environmental performance problem of small autonomous hybrid power systems with renewables-Reference-Cited by-同舟云学术

Multiobjective genetic algorithm solution to the optimum economic and environmental performance problem of small autonomous hybrid power systems with renewables

Published:2010 Issue:5 Volume:4 Page:404
ISSN:1752-1416
Container-title:IET Renewable Power Generation
language:en
Short-container-title:IET Renew. Power Gener.

Author:

Katsigiannis Y.A.,Georgilakis P.S.,Karapidakis E.S.

Publisher

Institution of Engineering and Technology (IET)

Subject

Renewable Energy, Sustainability and the Environment

Link

https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2009.0076?crawler=true&mimetype=application/pdf

Reference32 articles.

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2. Steuer, R.: ‘Multiple criteria optimization, theory, computation, and applications’, (Wiley, New York 1986)

3. Zeleny, M.: ‘Multi-criteria decision making’, (McGraw-Hill, New York 1982)

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