Title of article :
An improved red deer algorithm for addressing a direct current brushless motor design problem
Author/Authors :
Fathollahi-Fard, A.M Department of Industrial Engineering and Management Systems - Amirkabir University of Technology - Tehran, Iran , Niaz Azari, M Department of Electrical Engineering - University of Science and Technology of Mazandaran - Behshahr, Iran , Hajiaghaei-Keshteli, M Department of Industrial Engineering - University of Science and Technology of Mazandaran - Behshahr, Iran
Abstract :
Red Deer Algorithm (RDA) is one of the recent metaheuristic algorithms
inspired by the behavior of red deer in the breeding season. RDA has exhibited viable
performance in dealing with a variety of combinatorial optimization problems in dierent
real-world applications. In this paper, the parameters and operators of RDA were modied
using some adaptive strategies to improve its performance. To prove the eciency of the
new Improved RDA (IRDA), a number of benchmarked functions were utilized and, also, a
Direct Current (DC) brushless motor design was considered, which is one of the real-world
engineering design issues. The results of the developed IRDA are compared with other
algorithms existing the literature. This comparative study conrms that the proposed
IRDA outperforms other algorithms and provides very competitive results
Keywords :
Global optimization , DC brushless motor , Benchmarks , Metaheuristic , Red Deer Algorithm (RDA)
Journal title :
Scientia Iranica(Transactions E: Industrial Engineering)
