关键词: 引力搜索算法，万有引力公式，三角范数算子，二维的图像特征

Abstract: To transform universal gravitational formula after analyzing Gravitational Search Algorithm(GSA) Esmat Rashedi proposed, the product operator between two particles's inertia quality in the universal gravitation formula ws substituted by other triangular norms operator. Five triangular norms operators were chose for experience after analyzing feature of two-dimensional image to different triangular norms operators. Results show; to a test function having certain threcdimensional image feature, ability to find the global optimum using GSA of corresponding triangular norms operator is relatively better than GSA of others triangular norms operators.

Key words: Gravitational search algorithm, Universal gravitational formula, Triangular norms operator, Feature of two-dimensional image