Jurnal Penelitian Sains
No 13 (2003)

Fuzzy Nonlinier Mix-Integer Goal Programming with Genetic Algorithms

Samsuryadi Samsuryadi (Jurusan Matematika, Universitas Sriwijaya)



Article Info

Publish Date
12 Jul 2017

Abstract

System’s reability optimization problems are modeled using fuzzy nonlinier mix-integer goal programming problems, involving imprecise nonlinier mix-integer information. Furthermore, fuzzy nonlinier mix-integer goal programming is transformed into nonlinier mix-integer programming problem and the problem i solved using genetic algorithms by means of Matlab 5.3 software. The results or genetic algorithms with operator arithmetic crossover are the large of initial population number does not give the better fitness and the more generation numbers will result more high fitness.

Copyrights © 2003






Journal Info

Abbrev

jps

Publisher

Subject

Chemistry Mathematics Physics

Description

Jurnal Penelitian Sains (JPS) MIPA UNSRI merupakan wahana komunikasi ilmiah di bidang sains serta lintas ilmu yang terkait; diterbitkan sejak 1 Oktober 1996 oleh UP2M FMIPA Universitas Sriwijaya. Jurnal ini berisikan tulisan atau karangan ilmiah dalam berbagai bidang tersebut yang diangkat dari ...