Cargando…
An Enhanced Lightning Attachment Procedure Optimization with Quasi-Opposition-Based Learning and Dimensional Search Strategies
Lightning attachment procedure optimization (LAPO) is a new global optimization algorithm inspired by the attachment procedure of lightning in nature. However, similar to other metaheuristic algorithms, LAPO also has its own disadvantages. To obtain better global searching ability, an enhanced versi...
Autores principales: | Zheng, Tongyi, Luo, Weili |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6701370/ https://www.ncbi.nlm.nih.gov/pubmed/31467516 http://dx.doi.org/10.1155/2019/1589303 |
Ejemplares similares
-
An Enhanced Neural Network Algorithm with Quasi-Oppositional-Based and Chaotic Sine-Cosine Learning Strategies
por: Xiong, Xuan, et al.
Publicado: (2023) -
Learn salesforce lightning: the visual guide to the lightning UI
por: Duarte, Felicia, et al.
Publicado: (2017) -
Initiation of a lightning search using the lightning and airglow camera onboard the Venus orbiter Akatsuki
por: Takahashi, Yukihiro, et al.
Publicado: (2018) -
Boosting Whale Optimizer with Quasi-Oppositional Learning and Gaussian Barebone for Feature Selection and COVID-19 Image Segmentation
por: Xing, Jie, et al.
Publicado: (2022) -
Learning Salesforce Lightning application development: build and test Lightning Components for Salesforce Lightning Experience using Salesforce DX
por: Shrivastava, Mohith
Publicado: (2018)