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

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.

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