Jambura Journal of Biomathematics (JJBM)
Volume 3, Issue 1: June 2022

Implementasi algoritma genetika dalam mengestimasi kepadatan populasi jackrabbit dan coyote

Dian Savitri ([SCOPUS ID: 57192686927] Department of Mathematics, Universitas Negeri Surabaya)
Ninik Wahju Hidajati (Department of Civil Engineering, Universitas Negeri Surabaya)
Hasan S. Panigoro ([SCOPUS ID: 57211917739] Department of Mathematics, State University of Gorontalo)

Article Info

Publish Date
29 Jun 2022

Abstract

This article studies about the parameter estimation using genetic algorithm for a Lotka-Volterra prey-predator model. The secondary data consist of the density of jackrabbit as prey and coyote as predator in Southwest Presscott–Arizona are used. As results, the Mean Absolute Percentage Error (MAPE) are computed to compare the results of parameter estimation and the real data. We have shown that MAPE for jackrabbit and coyote respectively given by 7.75424% and 7.95283%. This results show that the parameter estimation with genetic algorithm using Lotka-Volterra model is passably. Furthermore, some numerical simulations are portrayed to show each population density for the next 100 years.

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Journal Info
Jambura Journal of Biomathematics (JJBM)
Website

Abbrev

JJBM

Publisher

Universitas Negeri Gorontalo

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Mathematics

Description

Jambura Journal of Biomathematics (JJBM) aims to become the leading journal in Southeast Asia in presenting original research articles and review papers about a mathematical approach to explain biological phenomena. JJBM will accept high-quality article utilizing mathematical analysis to gain ...