一种改进的多种群遗传算法

Application of improved genetic algorithm in gate location optimization of plastic injection molding

提出了一种基于物种方程和Kriging算子的多种群遗传算法。该算法中,将物种方程中的参数作为设计变量进行实数编码,物种方程作为一种修正的算术交叉算子参与遗传操作;同时,加入Kriging算子和移民算子,增强算法寻优能力,加快收敛。数学算例表明,改进的算法在计算效率和精度上都有明显的提高。

An multi-population genetic algorithm based on species equation and Kriging operator was presented. In this algorithm, the parameters of species equation are considered as design variables and processed by real-cold, the equation is regarded as modified arithmetic crossover operator to participate in genetic operation. The Kriging operator and immigration operator are brought in to enhance the ability of searching optimal solution and promoting convergence. Numerical examples show that the improved algorithm is advanced in efficiency and precision obviously.