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Analysis of fish movement using a genetic algorithm: factors influencing the occurrence of fish near a set‐net
Author(s) -
KOMEYAMA K.,
SUZUKI K.,
TAKAGI T.,
MITSUNAGA Y.,
YAMANE T.,
HIRAISHI T.
Publication year - 2008
Publication title -
fisheries management and ecology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.693
H-Index - 55
eISSN - 1365-2400
pISSN - 0969-997X
DOI - 10.1111/j.1365-2400.2008.00637.x
Subject(s) - cyprinus , fish <actinopterygii> , carp , common carp , selection (genetic algorithm) , genetic algorithm , environmental science , fishery , set (abstract data type) , net (polyhedron) , biology , algorithm , computer science , mathematics , machine learning , geometry , programming language
The occurrence of common carp, Cyprinus carpio L., and the environmental conditions near a set‐net were monitored using acoustic telemetry and a data logger to elucidate the conditions under which carp approached the net. The occurrence of one‐tagged fish was analysed using a genetic algorithm (GA); GAs are based on genetic mechanisms and use the natural selection of genotypes to model various explanatory variables to provide a solution. The conditions near the set‐net were simulated, including the current profile, wind system, water temperature and rainfall, and the pattern of factors that influenced the occurrence of the tagged fish were assessed using the GA. The occurrence of the tagged carp was related to lower water temperatures. The GA approach selected a significant portion of the truly important factors. Many factors can influence fish behaviour and GAs are an effective method for the analysis of complex biological phenomena.