An improved non-dominated sorting genetic algorithm III with grey relational analysis decision making for DG placement and sizing
In this paper, an improved Non-dominated Sorting Genetic Algorithm III (NSGA III) is proposed in determining the location and sizing of multi-DGs. NSGA III is the new variant of pareto-based evolutionary algorithm by using reference point approach. Grey Relational Analysis (GRA) is used to determine...
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Main Authors: | , |
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Format: | Conference or Workshop Item |
Language: | English English |
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Springer Science and Business Media Deutschland GmbH
2022
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Online Access: | http://umpir.ump.edu.my/id/eprint/39600/1/An%20Improved%20Non-dominated%20Sorting%20Genetic%20Algorithm.pdf http://umpir.ump.edu.my/id/eprint/39600/2/An%20improved%20non-dominated%20sorting%20genetic%20algorithm%20III%20with%20grey%20relational%20analysis%20decision%20making%20for%20DG%20placement%20and%20sizing_ABS.pdf http://umpir.ump.edu.my/id/eprint/39600/ https://doi.org/10.1007/978-981-16-8129-5_118 |
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http://umpir.ump.edu.my/id/eprint/39600/1/An%20Improved%20Non-dominated%20Sorting%20Genetic%20Algorithm.pdfhttp://umpir.ump.edu.my/id/eprint/39600/2/An%20improved%20non-dominated%20sorting%20genetic%20algorithm%20III%20with%20grey%20relational%20analysis%20decision%20making%20for%20DG%20placement%20and%20sizing_ABS.pdf
http://umpir.ump.edu.my/id/eprint/39600/
https://doi.org/10.1007/978-981-16-8129-5_118