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- Title
Buzzard Optimization Algorithm: A Nature-Inspired Metaheuristic Algorithm.
- Authors
Arshaghi, Ali; Ashourian, Mohsen; Ghabeli, Leila
- Abstract
Various algorithms have proposed during the last decade for solving different complex optimization problems. The meta-heuristic algorithms have been highly noted among researchers. In this paper, a new algorithm, known as the Buzzards Optimization Algorithm (BUZOA), is introduced. Marvelous and special lifestyle of buzzards and their competition characteristics for prey has been the basic motivation for this new optimization algorithm. The algorithm performance has been compared with newest and well-known meta-heuristics on some benchmark problems and test functions. Results have shown the high performance of the proposed BUZOA compared to the other well known algorithms.
- Subjects
MATHEMATICAL optimization; BUZZARDS; METAHEURISTIC algorithms; BENCHMARK problems (Computer science); GLOBAL optimization; ALGORITHMS
- Publication
Majlesi Journal of Electrical Engineering, 2019, Vol 13, Issue 3, p83
- ISSN
2345-377X
- Publication type
Article