@inproceedings{ce941d4b429b4e0bb0ca1253952f0af1,
title = "An implementation of continuous genetic algorithm in parameter estimation of predator-prey model",
abstract = "Genetic algorithm is an optimization method based on the principles of genetics and natural selection in life organisms. The main components of this algorithm are chromosomes population (individuals population), parent selection, crossover to produce new offspring, and random mutation. In this paper, continuous genetic algorithm was implemented to estimate parameters in a predator-prey model of Lotka-Volterra type. For simplicity, all genetic algorithm parameters (selection rate and mutation rate) are set to be constant along implementation of the algorithm. It was found that by selecting suitable mutation rate, the algorithms can estimate these parameters well.",
keywords = "Lotka-Volterra type, continuous genetic algorithm, mathematical model, parameter estimation, predator-prey",
author = "Windarto",
note = "Publisher Copyright: {\textcopyright} 2016 AIP Publishing LLC.; 5th International Conference and Workshop on Basic and Applied Sciences, ICOWOBAS 2015 ; Conference date: 16-10-2015 Through 17-10-2015",
year = "2016",
month = mar,
day = "15",
doi = "10.1063/1.4943352",
language = "English",
series = "AIP Conference Proceedings",
publisher = "American Institute of Physics Inc.",
editor = "Moh. Yasin and Harun, {Sulaiman W.}",
booktitle = "5th International Conference and Workshop on Basic and Applied Sciences, ICOWOBAS 2015",
}