Local polynomial regression estimation of trawl size selectivity parameters using genetic algorithm
Local polynomial regression estimation of trawl size selectivity parameters using genetic algorithm
Date
2018
Authors
Joshy, C.G.
Balakrishna, N.
Madhu, V.R.
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
This study used a local polynomial generalised linear model to estimate the trawl selectivity curve and its parameters. This
modeling technique was applied to trawl selectivity data obtained from the codend selectivity studies of the Dussumier’s
anchovy Thryssa dussumieri, an important trawl resource along the Gujarat coast, India, for 40 mm diamond and square
mesh codends. The results of this model were compared with the results obtained from the parametric approach and found
to have a superior fit based on the model performance statistics. Genetic algorithm was used to estimate the trawl selectivity
parameters by minimising the objective function, i.e., estimated squared distance from target. The nonparametric approach
was used to estimate the trawl selectivity parameter values (L50 and SR) for two species viz., Upeneus moluccensis and
Trichiurus lepturus to confirm its superiority over the parametric approach.
Description
Keywords
Citation
Indian J. Fish 65(3):25-32