Supriyadi, Ade (2003) ANALISIS DAN IMPLEMENTASI PENYELESAIAN MASALAH OPTIMISASI TANPA KENDALA PADA PERSAMAAN NON LINEAR DENGAN ALGORITMA GENETIK. Diploma thesis, Universitas Komputer Indonesia.
Full text not available from this repository.Abstract
Operation research analysts, engineers, managers, and planners are traditionally confronted by problems that need solving. Existing problems usually are intended to achieve an optimal reault. It is called optimization problems. Optimization is the act of obtaining the best result under given circumstances. When high-speed digital computers render implementation of optimization procedures possible and further research is sttimulated to develop new methods. Spectacular advances then followed, generating a massive literature on optimization techniques. This edvancement also results in the emergence of several well-defined new areas in optimization theory. Genetic algorithm is one of successful method in solving the problem of optimization.
Item Type: | Thesis (Diploma) |
---|---|
Subjects: | S1-Final Project > Fakultas Teknik Dan Ilmu Komputer > Teknik Informatika > 2003 |
Divisions: | Universitas Komputer Indonesia > Fakultas Teknik dan Ilmu Komputer Universitas Komputer Indonesia > Fakultas Teknik dan Ilmu Komputer > Teknik Informatika (S1) |
Depositing User: | Admin Repository |
Date Deposited: | 16 Nov 2016 07:40 |
Last Modified: | 16 Nov 2016 07:40 |
URI: | http://repository.unikom.ac.id/id/eprint/4836 |
Actions (login required)
View Item |