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This paper discusses an optimization method called Modified Bee Colonyalgorithm (MBC) based on a particular intelligent behavior of honeybee swarms.The algorithm was checked in a few benchmarks like Shekel, Rozenbroke,Himmelblau and Rastrigin functions, then was applied to parameteridentification for reactive flow problems in periodic porous media. Thesimulation results show that the performance and efficiency of MBC algorithmare comparable to the other parameter identification methods and strategies, atthe same time it is able to better capture local minima for the consideredclass of problems. The proposed identification approach is applicable fordifferent geometries (random and periodic) and for a range of processparameters. In this paper the potential of the approach is demonstrated inidentifying parameters of Langmuir isotherm for low Peclet and high Damkolernumbers reactive flow in a 2D periodic porous media with circular inclusions.Finite element approximation in space and implicit time discretization areexploited.

Modified Bee Colony optimization algorithm for computational parameter identification for pore scale transport in periodic porous media