A hybrid multi-verse optimization for the fuzzy flexible job-shop scheduling problem
In this paper, a novel algorithm called hybrid multi-verse optimization (HMVO) is proposed to
address the fuzzy flexible job-shop scheduling problem (FFJSP). Firstly, path relinking …
address the fuzzy flexible job-shop scheduling problem (FFJSP). Firstly, path relinking …
A hybrid biogeography-based optimization for the fuzzy flexible job-shop scheduling problem
J Lin - Knowledge-Based Systems, 2015 - Elsevier
Biogeography-based optimization is a novel evolutionary algorithm which mimics the
immigration and emigration of species among habitats. In this paper, the biogeography …
immigration and emigration of species among habitats. In this paper, the biogeography …
Artificial bee colony algorithm for solving multi-objective distributed fuzzy permutation flow shop problem
The distributed permutation flow shop scheduling (DPFSS) is a permutation flow shop
scheduling problem including the multi-factory environment. The processing times of the …
scheduling problem including the multi-factory environment. The processing times of the …
An optimization algorithm for the multi-objective flexible fuzzy job shop environment with partial flexibility based on adaptive teaching–learning considering fuzzy …
M Jiménez Tovar, J Acevedo-Chedid… - Soft Computing, 2024 - Springer
Production scheduling is a critical factor to enhancing productivity in manufacturing
engineering and combinatorial optimization research. The complexity and dynamic nature of …
engineering and combinatorial optimization research. The complexity and dynamic nature of …
Çizelgeleme problemlerinin çözümünde hibrit biyocoğrafya tabanlı optimizasyon algoritmasının kullanımı
O Engin, A Özmete, S İpek… - Harran Üniversitesi …, 2023 - dergipark.org.tr
Biyocoğrafya Tabanlı Optimizasyon (BTO), habitat türlerinin göçünden esinlenerek
oluşturulan evrimsel bir algoritmadır. 2008 yılında Simon tarafından geliştirilen bu yöntem …
oluşturulan evrimsel bir algoritmadır. 2008 yılında Simon tarafından geliştirilen bu yöntem …
An efficient parallel greedy algorithm for fuzzy hybrid flow shop scheduling with setup time and lot size: a case study in apparel process
O Engin, M İşler - Journal of fuzzy extension and applications, 2022 - journal-fea.com
This paper deals with the Fuzzy Hybrid Flow Shop (FHFS) scheduling inspired by a real
apparel process. A Parallel Greedy (PG) algorithm is proposed to solve the FHFS problems …
apparel process. A Parallel Greedy (PG) algorithm is proposed to solve the FHFS problems …
A hybrid scatter search method for solving fuzzy no-wait flow-shop scheduling problems
The literature published since the year 2000 was reviewed regarding the no-wait flow-shop
scheduling (No-WFSS) problem. The No-WFSS problem with separate set-up times and …
scheduling (No-WFSS) problem. The No-WFSS problem with separate set-up times and …
Makine Çizelgeleme Problemlerinin Çözümünde Pekiştirmeli Öğrenme Etkisinin Analizi
B Sarıcan, O Engin - ALKÜ Fen Bilimleri Dergisi, 2024 - dergipark.org.tr
Pekiştirmeli öğrenme, günümüz dünyasında birçok gerçek hayat problemine çözüm
bulmada aktif bir şekilde kullanılmakta ve endüstri içerisinde de umut verici yöntemler …
bulmada aktif bir şekilde kullanılmakta ve endüstri içerisinde de umut verici yöntemler …
Distributed fuzzy permutation flow shop scheduling problem: a bee colony algorithm
The distributed permutation flow shop scheduling problem is a subclass of the permutation
flow shop scheduling problem. Distributed scheduling adopts multi-factory with permutation …
flow shop scheduling problem. Distributed scheduling adopts multi-factory with permutation …
A risk assessment model for traffic crashes problem using fuzzy logic: a case study of Zonguldak, Turkey
ABSTRACT In this Fuzzy Inference System based study, a model is developed which can
present a real-time risk assessment model to the drivers. The model includes parameters car …
present a real-time risk assessment model to the drivers. The model includes parameters car …