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Multi-objective Harris Hawk Algorithms for the Diagnosis of Parkinson's Disease

2023-03-15

Abstract excerpt

This study proposes new binary Harris Hawk Optimization algorithms for diagnosing Parkinson's disease. New exploration and exploitation operators are developed, and a K-Nearest Neighbour classifier that adapts to the given dataset is employed. A parallel version of the algorithm implemented using Message Passing Interfaces is proposed for large problem instances where the fitness evaluation is time-consuming. Comp...

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Literature Corpus work
3e5236ce-8aa9-57cc-89b0-50e43169131b
DOI
10.21203/rs.3.rs-2671829/v1
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Multi-objective Harris Hawk Algorithms for the Diagnosis of Parkinson's DiseaseDOI 10.21203/rs.3.rs-2671829/v1
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