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A New Model for The Multi-Objective Multiple Allocation Hub Network Design and Routing Problem
(The Institute of Electrical and Electronics Engineers, 2019)
In this paper, we propose a new model for the multi-objective multiple allocation hub network
design and routing problem which contains determining the location of hubs, the design of hub network, and
the routing of ...
Dinamik Çok Amaçlı Eniyileme Problemleri için Hibrid Çerçevenin İncelenmesi
(Gazi Üniversitesi, 2018)
Çok amaçlı evrimsel algoritmalar ve sezgisel seçen üst-sezgiseller ortamda meydana
gelebilecek farklı dinamizm tiplerini ele alan adaptif yöntemlerdir. Bu çalışmada, bu
yöntemlerin birleştirildiği yapı, dinamik çok amaçlı ...
Recommending Healthy Meal Plans by Optimising Nature-Inspired Many-Objective Diet Problem
(SAGE, 2021)
Healthy eating is an important issue affecting a large part of the world population, so human diets are
becoming increasingly popular, especially with the devastating consequences of Coronavirus Disease
(Covid-19). A ...
A Deep Learning Model for Automated Segmentation of Fluorescence Cell images
(IOP Publishing Ltd, 2021)
Deep learning techniques bring together key advantages in biomedical image
segmentation. They speed up the process, increase the reproducibility, and reduce the workload
in segmentation and classification. Deep learning ...
Experimental Evaluation of Meta-Heuristics for Multi-Objective Capacitated Multiple Allocation Hub Location Problem
(Elsevier, 2022)
Multi-objective capacitated multiple allocation hub location problem (MOCMAHLP) is a variation of classic
hub location problem, which deals with network design, considering both the number and the location
of the hubs ...
Differential Evolution-Based Neural Architecture Search for Brain Vessel Segmentation
(Elsevier, 2024)
Brain vasculature analysis is critical in developing novel treatment targets for neurodegenerative diseases.
Such an accurate analysis cannot be performed manually but requires a semi-automated or fully-automated
approach. ...