Optimization of Indian CarpSeed Production Factors Using RSM Based Model and Genetic Algorithm

Amarnath Shit, Subham Pal

Abstract: The aim of this study is to find the optimum factors for the maximization of the Indian carp production rate. The experiment is carried out to record the different parameters that influence the production of carp seed. The investigation was carried with some commercially important fish species of various freshwater ponds of Ramsagar town, Bankura, West Bengal studied for twelve months. The RSM model is build using the experimental data. The RSM model is used as an objective function in the genetic algorithm (GA) to find the maximum production rate. ANOVA test shows that the RSM model for Catla carp is 99.96% accurate. Whereas, RSM model for the Labeo carp modelis99.86%accurate. Significance F values for both Catla and Labeo model is < 0.001. The optimum values of Age of female carp, the weight of female carp, length of female carp, the first dose for female carp, the second dose for female carp, age of male carp, the weight of male carp, length of male carp, and second dose for male carp are reported.

Keywords: Optimization, Genetic Algorithm, RSM model, Indian carp, Ramsagar town, Bankura

How to Cite?: Amarnath Shit, Subham Pal, "Optimization of Indian CarpSeed Production Factors Using RSM Based Model and Genetic Algorithm", Volume 14 Issue 5, May 2025, International Journal of Science and Research (IJSR), Pages: 744-750, https://www.ijsr.net/getabstract.php?paperid=SR25511212538, DOI: https://dx.doi.org/10.21275/SR25511212538