Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/510472
Title: | Improved Evolutionary Algorithms For Multi Objective Optimal Scheduling In Renewable Integrated Power System |
Researcher: | P G Anil Kumar |
Guide(s): | Dr. P. Aruna Jeyanthy |
Keywords: | Engineering Engineering and Technology Engineering Electrical and Electronic |
University: | Kalasalingam University |
Completed Date: | 2023 |
Abstract: | newline |
Pagination: | |
URI: | http://hdl.handle.net/10603/510472 |
Appears in Departments: | Department of Electrical and Electronics Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title page.pdf | Attached File | 61.14 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 2.62 MB | Adobe PDF | View/Open | |
03_contents.pdf | 31.1 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 77.57 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 111.5 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 428.61 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 304.38 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 240.23 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 1.2 MB | Adobe PDF | View/Open | |
10_annexure.pdf | 431.19 kB | Adobe PDF | View/Open | |
11_chapter 6.pdf | 35.89 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 92.8 kB | Adobe PDF | View/Open |
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