Fuzzy Nonlinier Mix-Integer Goal Programming with Genetic Algorithms

Samsuryadi Samsuryadi

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.


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DOI: https://doi.org/10.26554/jps.v0i13.304

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Jurnal Penelitian Sains (JPS) Published by UP2M, Faculty of Mathematic and Natural Science Sriwijaya University is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

 

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