Studi Performansi Algoritma Genetika dalam Pencapaian Nilai Solusi Multi Objective Goal Programming  

Oleh:

Arifin, Miftahol

Jenis: Article from Journal - ilmiah nasional
Dalam koleksi: Jurnal Teknologi Industri vol. 8 no. 3 (Jul. 2004), page 265-276.
Topik: Multi Objective Goal Programming; Ideal Solution; Genetic Algorithm

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: JJ83.5 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

In oplimization having multiple objectives often causes conflict in achieving optimum value from space of high dimensional issues and some complicated calculation process. Algorithm method commonly used for solving the problem of multi objective usually employees a conventional technique such as goal programming, compromise programming and interactive methods. Those techniques are effective with less clear and complex model (variable number, subject to and too large goal. Genetic algorithm (GA) gives a new alternative in solving a lot of difficult model from area optimization. The methodology adopted in solving the problem of multi objective goal programming with GA approach was done by changing subject in to domain constrains value. Range value from domain constrain was then randomized in certain population to determine the highest value of the searching process.

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