Shodhganga : a reservoir of Indian theses @ INFLIBNET
The Shodhganga@INFLIBNET Centre provides a platform for research students to deposit their Ph.D. theses and make it available to the entire scholarly community in open access.
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/491803
| Title: | Efficient Parallelization and Performance Analysis of Meta-heuristics on Many-core Platforms |
| Researcher: | Kumar, Manoj |
| Guide(s): | Mitra, Pinaki |
| Keywords: | Computer Science Computer Science Artificial Intelligence Engineering and Technology |
| University: | Indian Institute of Technology Guwahati |
| Completed Date: | 2023 |
| Abstract: | "Meta-heuristics are an efficient method for solving complex problems in science, engineering, and industry. They explore the solution space efficiently to generate a good solution in a reasonable time through a neighborhood or population-based local search. Even if the meta-heuristics do it efficiently, for large instances (practical problems of science, engineering, or industry), generation of neighborhood and evaluation of solution of single-solution based meta-heuristics or population-based meta-heuristics takes a tremendous amount of time." |
| URI: | http://hdl.handle.net/10603/491803 |
| Appears in Departments: | Department of Computer Science and Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 01_fulltext.pdf | Attached File | 2.5 MB | Adobe PDF | View/Open |
| 04_abstract.pdf | 78.51 kB | Adobe PDF | View/Open | |
| 80_recommendation.pdf | 227.09 kB | Adobe PDF | View/Open |
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