Pendekatan Algoritma Genetika Dalam Menyelesaikan Model Fuzzy Goal Programming  

Oleh:

Arifin, Miftahol ; Oes, Titin Isna

Jenis: Article from Journal - ilmiah nasional
Dalam koleksi: Jurnal Teknologi Industri vol. 5 no. 1 (Jan. 2001), page 13-22.
Topik: Algoritma Genetika; Fuzzy Goal Programming

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: JJ83.3 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

This paper has examined the use of genetic alorithms as a tool for the solution and analysis of multiple objective programming models. It has shown that multiple objectives can be effectively incorporated into the genetic algorithm framework. Various attributes of genetic algorithm can be exploited for this purpose. The randomised selection algorithm uses tha random search aspect of the genetic algorithm in order to ensure that an appropriate solution can be found without directly summing or comparing any of the objectives.

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