CANLI
Yükleniyor Veriler getiriliyor…
SCI-Expanded JCR Q3 Özgün Makale Scopus
A tool for multiobjective evolutionary algorithms
Advances in Engineering Software 2009 Cilt 40 Sayı 9
Scopus Eşleşmesi Bulundu
18
Atıf
40
Cilt
902-912
Sayfa
Scopus Yazarları: Tahir Saǧ, Mehmet Çunkaş
Özet
This paper introduces a software tool based on illustrative applications for the development, analysis and application of multiobjective evolutionary algorithms. The multiobjective evolutionary algorithms tool (MOEAT) written in C# using a variety of multiobjective evolutionary algorithms (MOEAs) offers a powerful environment for various kinds of optimization tasks. It has many useful features such as visualizing of the progress and the results of optimization in a dynamic or static mode, and decision variable settings. The performance measurements of well-known multiobjective evolutionary algorithms in MOEAT are done using benchmark problems. In addition, two case studies from engineering domain are presented. © 2009 Elsevier Ltd. All rights reserved.
Anahtar Kelimeler (Scopus)
Evolutionary algorithms Multiobjective optimization Software tool

Anahtar Kelimeler

Evolutionary algorithms Multiobjective optimization Software tool

Makale Bilgileri

Dergi Advances in Engineering Software
ISSN 0965-9978
Yıl 2009 / 9. ay
Cilt / Sayı 40 / 9
Sayfalar 902 – 912
Makale Türü Özgün Makale
Hakemlik Hakemli
Endeks SCI-Expanded
JCR Quartile Q3
Yayın Dili İngilizce
Kapsam Uluslararası
Toplam Yazar 2 kişi
Erişim Türü Elektronik
Erişim Linki Makaleye Git
Alan Mühendislik Temel Alanı- Bilgisayar Bilimleri ve Mühendisliği

YÖKSİS Yazar Kaydı

Yazar Adı SAĞ TAHİR,ÇUNKAŞ MEHMET
YÖKSİS ID 394856

Metrikler

Scopus Atıf 18
JCR Quartile Q3
Yazar Sayısı 2