Performance Comparison of Different Optimization Algorithms
Küçük Resim Yok
Tarih
2018
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Optimization algorithms are popular approaches to solving problems in many field. By considering the performance criteria of the optimization algorithms, optimization algorithms suitable for the topic are selected. In this study, the performance criteria of the five optimization algorithms, which have the same mathematical test functions and the parameter values of these functions and the decision variables, the number of populations and the number of execution cycles of the algorithm, are compared. Artificial Bee Colony Algorithm, Particle Swarm Optimization Algorithm, Fire Beetle Algorithm, Symbiotic Organism Algorithm and Biogeography Based Optimization Algorithm are used as optimization algorithms. Performance measures of these five optimization algorithms are calculated on three different benchmarking algorithms. The calculation results are presented as numerical values.
Açıklama
International Conference on Artificial Intelligence and Data Processing (IDAP) -- SEP 28-30, 2018 -- Inonu Univ, Malatya, TURKEY
Anahtar Kelimeler
ABC, PSO, FA, BBO, SOS
Kaynak
2018 International Conference on Artificial Intelligence and Data Processing (Idap)
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
