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Laplace crossover and random replacement strategy boosted Harris hawks optimization: performance optimization and analysis
저자
Yu H.,Qiao S.,Heidari A.A.,El-Saleh A.A.,Bi C.,Mafarja M.,Cai Z.,Chen H.
학술지명
Journal of Computational Design and Engineering
출판/발행연도
2022
주제
요약
본 연구는 해리스 매 최적화 알고리즘의 지역 탐색 능력을 향상시키고 수렴 속도를 개선하기 위해 라플라스 교차 및 랜덤 대체 전략을 기반으로 한 향상된 알고리즘을 제안합니다. 제안된 알고리즘은 라플라스 교차를 통해 탐색 능력을 강화하고, 랜덤 대체 전략을 도입하여 수렴 속도를 가속화합니다. 실험 결과, 개선된 알고리즘은 강력한 최적화 능력, 높은 수렴 정확도 및 빠른 수렴 속도를 가지며, 엔지니어링 설계 문제 해결에 효과적인 것으로 나타났습니다.
학술지 영향력
[Journal of Computational Design and Engineering]
- CiteScore
- 10.3
- ES
- 0.00227
- JCI
- 1.46
- JCR
- 6.1
- KCI
- 1.14
- SJR
- 0.976
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