A MULTI-OBJECTIVE OPTIMIZATION ALGORITHM FOR SOLVING ENGINEERING PROBLEMS

dc.contributor.authorBOUDJAMLINE, Rayhana
dc.contributor.authorCHALABI, Nour elhouda: Supervisor
dc.date.accessioned2024-07-10T10:56:05Z
dc.date.available2024-07-10T10:56:05Z
dc.date.issued2024
dc.description.abstract"Human-inspired algorithms are part of metaheuristic algorithms, thus providing a suitable way to find solutions to real-world engineering problems. We also see a growing interest in these methods. The main motivation behind the proposal of the multiobjective algorithm MOCBOA is based on single-objective CBOA algorithm, In this algorithm, we combined domination and added solution archive, then tested it on some engineering problems, especially design problems. mechanical The results showed that the MOCBOA algorithm generated solutions for all problems, with significantly better performance than the comparison algorithms on the problem (Pressure vessel design and Vibrating platform design, Disc brake design, Speed reducer design), which confirms. its efficiency and ability to solve problems."
dc.identifier.urihttps://dspace.univ-msila.dz/handle/123456789/43554
dc.language.isoen
dc.publisherMohamed Boudiaf University of M'sila
dc.subjectHuman-inspired algorithms
dc.subjectMetaheuristic algorithms
dc.subjectEngineering problems
dc.subjectMulti-objective algorithm (MOCBOA)
dc.subjectSingle-objective CBOA
dc.subjectDominance
dc.titleA MULTI-OBJECTIVE OPTIMIZATION ALGORITHM FOR SOLVING ENGINEERING PROBLEMS
dc.typeThesis

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