The　regularization　parameter　plays　a　critical　role　in　recovering　bioluminescent　source　for　regularization　based　reconstruction　methods.　To　date,　the　regularization　parameter　is　usually　selected　either　through　the　empirical　choice　or　prior　experience　of　the　user.　Therefore,　it　is　highly　desirable　to　develop　a　methodology　to　adaptively　determine　the　regularization　parameter.　In　the　paper,　a　deterministic　algorithm　for　the　selection　of　a　regularization　parameter　has　been　applied　for　the　first　time　to　bioluminescence　tomography　(BLT).　To　improve　the　performance　of　the　algorithm,　a　warm　start　strategy　is　introduced.　Numerical　experiments　were　performed　to　access　the　effectiveness　of　the　proposed　method.