이 제출물을 팔로우합니다
- 팔로우하는 게시물 피드에서 업데이트를 확인할 수 있습니다
- 정보 수신 기본 설정에 따라 이메일을 받을 수 있습니다
This paper provides an Improved Lyrebird Optimization Algorithm (Improved LOA) to address these issues. The Improved LOA improves on the standard Lyrebird Optimization Algorithm (LOA) by incorporating two biologically inspired mechanisms: the mimicry mechanism, which boosts exploitation by allowing agents to recall and refine previously successful positions, and the territory protection mechanism, which encourages exploration by repelling agents from densely populated areas. These processes enhance convergence speed, solution variety, and robustness.
Main paper: A. Khaled, M. Gafar, S. Sarhan, A. M. Shaheen, and A. S. Alwakeel, “A lyrebird optimizer with mimicry and territory protection mechanisms for spectrum sharing MIMO system with intelligent reflecting surface,” Results in Engineering, vol. 26, p. 105519, Jun. 2025, https://doi.org/10.1016/j.rineng.2025.105519
인용 양식
Abdullah M. Shaheen (2026). Improved Lyrebird Optimization Algorithm (Improved LOA) (https://kr.mathworks.com/matlabcentral/fileexchange/181734-improved-lyrebird-optimization-algorithm-improved-loa), MATLAB Central File Exchange. 검색 날짜: .
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