Improved L ' evy flight distribution algorithm with FDB-based guiding mechanism for AVR system optimal design
Yükleniyor...
Dosyalar
Tarih
2022
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Pergamon-Elsevier Science Ltd
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This paper presents the improved version of the Le ' vy Flight Distribution (LFD) algorithm for solving real-valued numerical optimization problems. In the proposed algorithm, the Fitness-Distance Balance (FDB) selection method was used to determine the search agents that well know the migration routes and guide the herd. Thus, the FDB-LFD algorithm, which has a much stronger search performance, was developed. The performance of the proposed algorithm was tested and verified on CEC17 and CEC20 benchmark problems for low-, middle-and high-dimensional search spaces. Results of the FDB-LFD was compared to the performance of 11 other powerful and up-to-date metaheuristic search algorithms. According to Friedman statistical test results, the proposed FDBLFD algorithm ranked first, whereas the LFD was ranked eleventh. This result demonstrated that the changes in the design of the LFD algorithm had been successful. Moreover, using the proposed algorithm, optimum solutions were found for one of the popular industrial engineering applications: the automatic voltage regulator (AVR) system design. The simulation results revealed that the FDB-LFD is an effective algorithm for solving both unconstrained benchmark and constrained industrial engineering design problems.
Açıklama
Anahtar Kelimeler
Levy Flight Distribution; Fitness-Distance Balance; Meta-Heuristic Search Algorithm Design; Optimization; Automatic Voltage Regulator, Automatic Voltage Regulator; Order (Pid-Mu)-D-Lambda Controller; Symbiotic Organisms Search; Pid Controller; Levy Flight; Differential Evolution; Optimization Algorithm; Performance Analysis; Derivative Controller; Enhanced Exploration
Kaynak
Computers & Industrial Engineering
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
168
