Application of RAGA-based fuzzy analytic hierarchy process to optimization of blasting plans

An improved evaluation method is discussed, which can be used to optimize the blasting plans by using the fuzzy analytic hierarchy process (FAHP) with the real coding-based accelerating genetic algorithm (RAGA). Fuzzy preferential relation matrixes are established with the blasting plans and the evaluation indexes. The values of the weights and the optimum values meeting the minimizing condition of consistency index coefficient (CIC) are calculated by means of RAGA, and the best blasting plan is selected according to the general optimum value of each plan. The practical example shows that the proposed method can be used to gain the rational weights, and its accuracy, dispersion, and operability are better than those of the traditional FAHP.