TEMATIKA: Jurnal Penelitian Teknik Informatika dan Sistem Informasi
TEMATIKA Volume 5 Nomor 1 (Maret 2017)

Analisa Penerapan Model Algoritma Fuzzy Evolusi (Studi Kasus : Penentuan Menu Makanan Diabetes Melitus)

Farlin Yosry (Unknown)
Erick Alfons Lisangan (Unknown)

Article Info

Publish Date
01 Mar 2017

Abstract

Adaptive fuzzy evolutionary algorithm control genetic parameters based on population diversity to avoid premature convergence. However, population diversity isn’t guarantee achieving optimum global solution. This research aims to model adaptive fuzzy with fitness goals and analyze influence of genetic parameters, fuzzy, crossover and mutation technique towards case study DM food menu determination that has fitness goal as calorie needs. This research results show that adaptive fuzzy with fitness goals is able to produce solution that has fitness with good degree of accuracy. Crossover relies on fuzzy and mutation while fuzzy adaptive, chromosome mutation and larger population can produce better fitness.

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Journal Info
TEMATIKA: Jurnal Penelitian Teknik Informatika dan Sistem Informasi
Website

Abbrev

tematika

Publisher

Universitas Atma Jaya Makassar

Subject

Computer Science & IT

Description

TEMATIKA (ISSN: 2303-3878, e-ISSN: 2338-8641) is an interdisciplinary journal of original research and writing in the wide areas of informatics and Information ...