Parameters setting of experiment.

<div><p>Gene expression programming (GEP) is one of the most prominent algorithms in function mining. In order to obtain a more accurate function model in configuration parameters-execution efficiency (CP-EE) of map-reduce job in the high-speed railway catenary monitoring system, this pa...

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Bibliographic Details
Main Author:	Jin Ding (11522) (author)
Other Authors:	Tianyu Jiang (1376670) (author), Ping Tan (1356951) (author), Yi Wang (32470) (author), Zhenshun Fei (17403854) (author), Chuyuan Huang (17403857) (author), Jien Ma (16193822) (author), Youtong Fang (11329313) (author)
Published:	2023
Subjects:	Evolutionary Biology Ecology Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified randomly replacing individuals individual fitness values escape premature convergence adaptive mutation rate better solution quality commonly used algorithms manual intervention strategy local optimum based function mining show called gep based accurate function model population evolutionary stagnation reduce job execution higher population diversity reduce job local optimum function model function mining population diversity higher accuracy execution efficiency average quality prominent algorithms gep algorithms evolutionary direction ancestral population traditional gep paper proposes novel algorithm gep ). experimental results determine whether designed according configuration parameters algorithm enters
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Parameters setting of experiment.

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