Artificial immune systems and applications in industrial problems

DÖYEN, ALPER; ENGİN, Orhan

Artificial immune systems and applications in industrial problems

Orhan ENGİN, (Selçuk Üniversitesi, Mühendislik Mimarlık Fakültesi, Endüstri Mühendisliği Bölümü, Konya, Türkiye)

Alper DÖYEN (Girilmedi)

Gazi Üniversitesi Fen Bilimleri Dergisi

4 0

Yıl: 2004 Cilt: 17 Sayı: 1 Sayfa Aralığı: 71 - 84 Metin Dili: Türkçe İndeks Tarihi: 29-07-2022

Artificial immune systems and applications in industrial problems

Öz:

Yapay bağışıklık sistemleri (YBS), teorik bağışıklık bilimi, gözlenen bağışıklık fonksiyonları, prensipleri ve mekanizmalarından ilham alan ve karmaşık hesaplama problemlerini çözmek için geliştirilmiş bir hesaplama tekniğidir. Bu makalede, Yapay Bağışıklık Sistemlerinin tanımı, problem çözme tekniği ve endüstriyel uygulamaları yer almaktadır. Çözüm zamanı polinomiyal olmayan (Non Polinomial-NP) problemler kapsamında yer alan endüstriyel problemleri çözmek için son yıllarda geliştirilen yapay zeka tekniklerinden bir kısmı biyolojik tabanlı algoritmalardır. Bunlar; Genetik Algoritmalar, Karınca Kolonileri ve Yapay Bağışıklık Sistemleridir: Bu makalede ayrıca biyolojik tabanlı iki yöntem olan Yapay Bağışıklık Sistemleri ile Genetik Algoritma teknikleri karşılaştırılarak, güçlü ve zayıf yönleri belirlenmeye çalışılmıştır.

Anahtar Kelime:

Yapay bağışıklık sistemleri ve endüstriyel problemlerde kullanımı

Öz:

Artificial Immune Systems (AIS) can be defined as computational systems inspired by theoretical immunology, observed immune functions, principles and mechanisms in order to solve complex problems. In this paper; description, problem solving technique and industrial applications of artificial immune systems are presented. Biologically inspired algorithms are artificial intelligence techniques that in recent years, have been are improved to solve Non Polinomial-NP problems. These are; genetic algorithms, ant colonies optimization and artificial immune systems. Also in this paper the two biologically inspired techniques; artificial immune systems and genetic algorithms are compared, to determine their strong and weak aspects.

Anahtar Kelime:

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık

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APA	ENGİN O, DÖYEN A (2004). Artificial immune systems and applications in industrial problems. , 71 - 84.
Chicago	ENGİN Orhan,DÖYEN ALPER Artificial immune systems and applications in industrial problems. (2004): 71 - 84.
MLA	ENGİN Orhan,DÖYEN ALPER Artificial immune systems and applications in industrial problems. , 2004, ss.71 - 84.
AMA	ENGİN O,DÖYEN A Artificial immune systems and applications in industrial problems. . 2004; 71 - 84.
Vancouver	ENGİN O,DÖYEN A Artificial immune systems and applications in industrial problems. . 2004; 71 - 84.
IEEE	ENGİN O,DÖYEN A "Artificial immune systems and applications in industrial problems." , ss.71 - 84, 2004.
ISNAD	ENGİN, Orhan - DÖYEN, ALPER. "Artificial immune systems and applications in industrial problems". (2004), 71-84.

APA	ENGİN O, DÖYEN A (2004). Artificial immune systems and applications in industrial problems. Gazi Üniversitesi Fen Bilimleri Dergisi, 17(1), 71 - 84.
Chicago	ENGİN Orhan,DÖYEN ALPER Artificial immune systems and applications in industrial problems. Gazi Üniversitesi Fen Bilimleri Dergisi 17, no.1 (2004): 71 - 84.
MLA	ENGİN Orhan,DÖYEN ALPER Artificial immune systems and applications in industrial problems. Gazi Üniversitesi Fen Bilimleri Dergisi, vol.17, no.1, 2004, ss.71 - 84.
AMA	ENGİN O,DÖYEN A Artificial immune systems and applications in industrial problems. Gazi Üniversitesi Fen Bilimleri Dergisi. 2004; 17(1): 71 - 84.
Vancouver	ENGİN O,DÖYEN A Artificial immune systems and applications in industrial problems. Gazi Üniversitesi Fen Bilimleri Dergisi. 2004; 17(1): 71 - 84.
IEEE	ENGİN O,DÖYEN A "Artificial immune systems and applications in industrial problems." Gazi Üniversitesi Fen Bilimleri Dergisi, 17, ss.71 - 84, 2004.
ISNAD	ENGİN, Orhan - DÖYEN, ALPER. "Artificial immune systems and applications in industrial problems". Gazi Üniversitesi Fen Bilimleri Dergisi 17/1 (2004), 71-84.