Efficient Parallelization and Performance Analysis of Meta-heuristics on Many-core Platforms

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dc.contributor.authorKumar, Manoj
dc.date.accessioned2024-07-03T07:00:28Z
dc.date.available2024-07-03T07:00:28Z
dc.date.issued2023
dc.descriptionSupervisor: Mitra, Pinaki
dc.description.abstractMeta-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.
dc.identifier.otherROLL NO.146101013
dc.identifier.urihttps://gyan.iitg.ac.in/handle/123456789/2665
dc.language.isoen
dc.relation.ispartofseriesTH-3109
dc.titleEfficient Parallelization and Performance Analysis of Meta-heuristics on Many-core Platforms
dc.typeThesis
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PhD Theses (Computer Science and Engineering)