| dc.contributor.author | ARIF, M. Ziaul | |
| dc.contributor.author | ANWAR, Zainul | |
| dc.contributor.author | KAMSYAKAWUNI, Ahmad | |
| dc.date.accessioned | 2020-11-18T06:50:04Z | |
| dc.date.available | 2020-11-18T06:50:04Z | |
| dc.date.issued | 2016-09-26 | |
| dc.identifier.uri | http://repository.unej.ac.id/handle/123456789/102060 | |
| dc.description | Proceeding The 1st IBSC: Towards The Extended Use Of Basic Science For Enhancing
Health, Environment, Energy And Biotechnology | en_US |
| dc.description.abstract | Nonlinear equation is a mathematical problem that is quite difficult to solve. Its analytic solution is not easily
discovered. There are several methods used to solve nonlinear equations and the obtained results is in the form of
approximation to the analytical solution. Most of the numerical method need appropriate initial value to perform the
accuration of the method. However, it will diverge if the initial value is inappropriate. Therefore, we propose discovering the
solutions of nonlinear equations by applying metaheuristic methods. In this paper, we present the virus Evolutionary Genetic
Algorithm (VEGA) combined with Zero Crossing Method at an early stage to solve nonlinear equations. This study was
conducted to test the performance and accuracy of the combined both of the method by providing some examples. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | UPT Penerbitan & Percetakan Universitas Jember | en_US |
| dc.subject | Nonlinear equation | en_US |
| dc.subject | VEGA | en_US |
| dc.subject | Zero crossing | en_US |
| dc.title | A Zero Crossing-Virus Evolutionary Genetic Algorithm (VEGA) to Solve Nonlinear Equations | en_US |
| dc.type | Article | en_US |
| dc.identifier.kodeprodi | kodeprodi1810101#Matematika | |
| dc.identifier.nidn | NIDN0011018501 | |
| dc.identifier.nidn | NIDN0029117202 | |
