Cargando…
Robust pollution source parameter identification based on the artificial bee colony algorithm using a wireless sensor network
Pollution source parameter identification (PSPI) is significant for pollution control, since it can provide important information and save a lot of time for subsequent pollution elimination works. For solving the PSPI problem, a large number of pollution sensor nodes can be rapidly deployed to cover...
Autores principales: | Cao, MengLi, Hu, Xiong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7228127/ https://www.ncbi.nlm.nih.gov/pubmed/32413067 http://dx.doi.org/10.1371/journal.pone.0232843 |
Ejemplares similares
-
Probabilistic Dynamic Deployment of Wireless Sensor Networks by Artificial Bee Colony Algorithm
por: Ozturk, Celal, et al.
Publicado: (2011) -
Artificial Bee Colony algorithm in estimating kinetic parameters for yeast fermentation pathway
por: Ismail, Ahmad Muhaimin, et al.
Publicado: (2023) -
Weighted Global Artificial Bee Colony Algorithm Makes Gas Sensor Deployment Efficient
por: Jiang, Ye, et al.
Publicado: (2016) -
An Artificial Bee Colony Algorithm for Uncertain Portfolio Selection
por: Chen, Wei
Publicado: (2014) -
A Multistrategy Optimization Improved Artificial Bee Colony Algorithm
por: Liu, Wen
Publicado: (2014)