ANALISIS DAN IMPLEMENTASI PENYELESAIAN MASALAH OPTIMISASI TANPA KENDALA PADA PERSAMAAN NON LINEAR DENGAN ALGORITMA GENETIK

SUPRIYADI, ADE (2003) ANALISIS DAN IMPLEMENTASI PENYELESAIAN MASALAH OPTIMISASI TANPA KENDALA PADA PERSAMAAN NON LINEAR DENGAN ALGORITMA GENETIK. Other thesis, Universitas Komputer Indonesia.

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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 (Other)
Additional Information: Migrasi dari GDL. Identifier: jbptunikompp-gdl-s1-2003-adesupriya-178. Folder: S1-Final_Project / Fakultas_Teknik_dan_Ilmu_Komputer / Teknik_Informatika / 2003
Uncontrolled Keywords: algoritma genetik
Divisions: S1 Skripsi > Teknik Informatika
Depositing User: Robot Migration
Date Deposited: 05 Nov 2026 04:52
Last Modified: 05 Nov 2026 04:52
URI: https://elibrary.unikom.ac.id/id/eprint/22938

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