CANLI
Yükleniyor Veriler getiriliyor…
/ Makaleler / Scopus Detay
Scopus YÖKSİS DOI Eşleşti SJR Q1

Similarity and Logic Gate-Based Tree-Seed Algorithms for Binary Optimization

Computers and Industrial Engineering · Ocak 2018

YÖKSİS DOI Eşleşmesi Bulundu

Bu Scopus makalesi YÖKSİS veritabanında da kayıtlı. Aşağıda YÖKSİS verilerini görebilirsiniz.

YÖKSİS Kayıtları
Similarity and Logic Gate-Based Tree-Seed Algorithms for Binary Optimization
COMPUTERS INDUSTRIAL ENGINEERING · 2018 SCI
Doç. Dr. AHMET CEVAHİR ÇINAR →
YÖKSİS ISSN Eşleşmesi

Bu dergide (ISSN eşleşmesi) kurumun 1 kaydı bulundu.

YÖKSİS Kayıtları — ISSN Eşleşmesi
Similarity and Logic Gate-Based Tree-Seed Algorithms for Binary Optimization
2018 ISSN: 0360-8352 SCI Q1
Doç. Dr. AHMET CEVAHİR ÇINAR →

Makale Bilgileri

Dergi Computers and Industrial Engineering
ISSN03608352
Yayın TarihiOcak 2018
Cilt / Sayfa115 · 631-646
DOI10.1016/j.cie.2017.12.009
Scopus ID2-s2.0-85038212779
Özet This paper focuses on solving binary optimization problems by using Tree-Seed Algorithm, TSA for short. While TSA is firstly proposed for solving optimization problems with continuously-structured solution space, TSA is modified to solve binary optimization problems, which is a subfield of discrete optimization, by using logic gates (LogicTSA) and similarity measurement techniques (SimTSA). In order to improve performance of these methods, a hybrid variant (SimLogicTSA) is also proposed. The performance of the proposed algorithms is investigated on uncapacitated facility location problems (UFLPs), which are pure binary optimization problems. The experimental results on 15 test instances are compared with each other and state-of-art algorithms. The comparisons demonstrate that hybrid variant of the algorithm is better than the other variants of the algorithm and state-of-art algorithms in terms of solution quality and robustness.

Yazarlar (2)

1
Ahmet Cevahir Cinar
2
Mustafa Kiran

Anahtar Kelimeler

Binary optimization Location analysis Logic gate Similarity Tree-seed algorithm

Kurumlar

Konya Division
Konya Turkey
Selçuk Üniversitesi
Selçuklu Turkey
Scimago Dergi (ISSN Eşleşmesi)
Computers and Industrial Engineering
Q1
SJR Skoru1,588
H-Index187
YayıncıElsevier Ltd
ÜlkeUnited Kingdom
Computer Science (miscellaneous) (Q1)
Engineering (miscellaneous) (Q1)
Management Science and Operations Research (Q1)
Dergi sayfasına git

Metrikler

61
Atıf
2
Yazar
5
Anahtar Kelime

Sistemimizdeki Yazarlar

AÇ
AHMET CEVAHİR ÇINAR
Doç. Dr.

Hızlı Erişim

DOI ile aç Scopus'ta aç Makaleler listesi