DocumentCode
2691143
Title
A Novel Atmosphere Clouds Model Optimization Algorithm
Author
Gao-wei, Yan ; Zhanju, Hao
Author_Institution
Coll. of Inf. Eng., Taiyuan Univ. of Technol., Taiyuan, China
fYear
2012
fDate
7-9 July 2012
Firstpage
217
Lastpage
220
Abstract
This paper introduces a novel numerical stochastic optimization algorithm inspired from the behavior of cloud in the natural world, which is designated as Atmosphere Clouds Model Optimization Algorithm (ACMO). And the ACMO algorithm has been tested on a set of benchmark functions in comparison with Particle Swarm Optimization algorithm (PSO) and Genetic Algorithm (GA). The results demonstrate that the proposed algorithm has a certain advantage in solving multimodal functions.
Keywords
clouds; genetic algorithms; geophysics computing; particle swarm optimisation; stochastic programming; atmosphere clouds model optimization; cloud behavior; genetic algorithm; numerical stochastic optimization; particle swarm optimization; Algorithm design and analysis; Atmospheric modeling; Clouds; Computational modeling; Genetic algorithms; Humidity; Optimization; numerical optimization; evolutionary algorithm; swarm intelligence; cloud model;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing, Measurement, Control and Sensor Network (CMCSN), 2012 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4673-2033-7
Type
conf
DOI
10.1109/CMCSN.2012.117
Filename
6245819
Link To Document