Cargando…
The hybrid bacterial foraging algorithm based on many-objective optimizer
A new multi-objective optimized bacterial foraging algorithm - Hybrid Multi-Objective Optimized Bacterial Foraging Algorithm (HMOBFA) is presented in this article. The proposed algorithm combines the crossover-archives strategy and the life-cycle optimization strategy, look for the best method throu...
Autores principales: | Liu, Yang, Tian, Liwei, Fan, Linan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7715497/ https://www.ncbi.nlm.nih.gov/pubmed/33304186 http://dx.doi.org/10.1016/j.sjbs.2020.08.021 |
Ejemplares similares
-
Artificial root foraging optimizer algorithm with hybrid strategies
por: Liu, Yang, et al.
Publicado: (2017) -
Bacterial Foraging Optimization –Genetic Algorithm for Multiple Sequence Alignment with Multi-Objectives
por: Manikandan, P., et al.
Publicado: (2017) -
Hybrid selection based multi/many-objective evolutionary algorithm
por: Dutta, Saykat, et al.
Publicado: (2022) -
Hybrid Artificial Root Foraging Optimizer Based Multilevel Threshold for Image Segmentation
por: Liu, Yang, et al.
Publicado: (2016) -
Many-objective African vulture optimization algorithm: A novel approach for many-objective problems
por: Askr, Heba, et al.
Publicado: (2023)