Title :
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
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;
Conference_Titel :
Parallel and Distributed Processing Workshops and Phd Forum (IPDPSW), 2011 IEEE International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-425-1
Electronic_ISBN :
1530-2075
DOI :
10.1109/IPDPS.2011.171
