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Toplam kayıt 6, listelenen: 1-6
Optimization Test of a Rule-Based Swarm Intelligence Simulation for the Conceptual Design Process
(Cambridge University Press, 2020)
Today, in the field of architecture, bio-inspired algorithms can be used to design and seek
solutions to design problems. Two of the most popular algorithms are the genetic algorithm
(GA) and swarm intelligence algorithm. ...
Öznitelik Seçimi İçin Çoklu-Ebeveyn Çaprazlama Operatörlerinin Karşılaştırılması
(Institute of Electrical and Electronics Engineers Inc., 2022)
Genetic algorithms (GA) are mostly used for
feature selection in literature. In this study, multi-parent
crossover operators are used in genetic algorithms for feature
selection. The uniform crossover, occurrence-based ...
Experimental Analysis of A Statistical Multiploid Genetic Algorithm for Dynamic Environments
(Elsevier, 2022)
Dynamic environments are still a big challenge for optimization algorithms. In this paper, a Genetic
Algorithm using both Multiploid representation and the Bayesian Decision method is proposed. By
Multiploid representation, ...
Performance Improvement of Genetic Algorithm Based Exam Seating Solution by Parameter Optimization
(Bursa Teknik Üniversitesi, 2022)
Exam seat allocation has become a complex problem, with an increasing number
of students, subjects, exams, departments, and rooms in higher education
institutions. The requirements and constraints of this problem ...
Öznitelik Seçimi İçin Çoklu-ebeveyn Çaprazlama Operatörlerinin Karşılaştırılması
(Fatih Sultan Mehmet Vakıf Üniversitesi, Lisansüstü Eğitim Enstitüsü, 2022)
Yapay zeka ve makine öğrenmesinde son yıllarda sağlanan gelişmelerle elde edilen büyük veri kümelerinin analizini daha hızlı yapmak ve veri kümelerinin boyutunu azaltarak depolama problemlerine çözüm sağlamak öznitelik ...
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 ...