Choosing Representation, Mutation, and Crossover in Genetic Algorithms | PERPUSTAKAAN UNIVERSITAS KATOLIK PARAHYANGAN

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Choosing Representation, Mutation, and Crossover in Genetic Algorithms

Dockhorn, Alexander - Nama Orang; Lucas, Simon - Nama Orang;

This paper aims to provide an introduction to genetic algorithms and their three main components, i.e., the representation of solutions and their modification through mutation and crossover operators. It has been specifically designed as introduction for newcomers to this exciting research area. This short paper represents a summary of the full paper found online in IEEE Xplore. The latter provides interactive components for a hands-on exploration of the covered material.

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Barcode		Tipe Koleksi	Nomor Panggil	Lokasi	Status
art144967	null	Artikel		Gdg9-Lt3	Tersedia namun tidak untuk dipinjamkan - No Loan

Informasi Detail

Judul Seri: IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE; Vol.17 No.4 November 2022
No. Panggil: -
Penerbit: : .,
Deskripsi Fisik: p. 52-53
Bahasa: English
ISBN/ISSN: -
Klasifikasi: NONE
Tipe Isi: -
Tipe Media: -
Tipe Pembawa: -
Edisi: -
Subjek: GENETICS
GENETIC ALGORITHMS
EVOLUTIONARY COMPUTATION
Info Detail Spesifik: DOI: 10.1109/MCI.2022.3199626
Pernyataan Tanggungjawab: Alexander Dockhorn, Simon Lucas

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