Multiple Particle Collision Algorithm Applied to Radiative Transference and Pollutant Localization Inverse Problems

Author

Luz, Eduardo Fávero Pacheco da ; Becceneri, José Carlos ; De Campos Velho, Haroldo Fraga

Author_Institution

Post-graduation Program in Appl. Comput., Nat. Inst. for Space Res., Sao Jose dos Campos, Brazil

fYear

2011

fDate

16-20 May 2011

Firstpage

347

Lastpage

351

Abstract

The Multiple Particle Collision Algorithm (MPCA) is a nature-inspired stochastic optimization method developed specially for high performance computational environments. Its advantages resides in the intense use of computational power provided by multiple processors in the task of search the solution space for a near optimum solution. This work presents the application of MPCA in solving two inverse problems written as optimization problems, its advantages and disadvantages are also described, so are the obtained results.

Keywords

deterministic algorithms; stochastic programming; high performance computational environment; multiple particle collision algorithm; multiple processors; pollutant localization inverse problem; radiative transference problem; stochastic optimization method; Absorption; Algorithm design and analysis; Atmospheric modeling; Inverse problems; Mathematical model; Optimization; Principal component analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Parallel and Distributed Processing Workshops and Phd Forum (IPDPSW), 2011 IEEE International Symposium on

Conference_Location

Shanghai

ISSN

1530-2075

Print_ISBN

978-1-61284-425-1

Electronic_ISBN

1530-2075

Type

conf

DOI

10.1109/IPDPS.2011.171

Filename

6008850