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Toplam kayıt 8, listelenen: 1-8
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 ...
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 ...
DeepCAN: A Modular Deep Learning System for Automated Cell Counting and Viability Analysis
(IEEE, 2022)
Precise and quick monitoring of key cytometric features such as cell count, cell size, cell morphology,
and DNA content is crucial for applications in biotechnology, medical sciences, and cell culture research. Traditionally, ...
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. ...
Evolutionary Architecture Optimization for Retinal Vessel Segmentation
(IEEE, 2023)
Retinal vessel segmentation (RVS) is crucial
in medical image analysis as it helps identify and monitor
retinal diseases. Deep learning approaches have shown
promising results for RVS, but designing optimal neural
network ...
Radar Placement Optimization Based on Adaptive Multi-Objective Meta-Heuristics
(Elsevier, 2024)
Airspace surveillance is a significant issue for many countries to control and manage their airspace. The
number of radars used and their coverage rate are the main issues to consider in this case. Therefore, this
paper ...