Genetic algorithm for searching for most dangerous slip surface

The invention discloses a genetic algorithm for searching for the most dangerous slip surface. The genetic algorithm comprises the following steps: step one, determining the phenotype X of an individual and the solution space of a problem; step two, determining a target function and a mathematic description form thereof or a quantification method; step three, determining the genotype X of the individual and the search space of a genetic algorithm; step four, determining a correspondence or a conversion method from the individual genotype X to the individual phenotype X; step five, determining a conversion rule from a target function value f(X) to an individual fitness Fitness(X); step six, determining specific operation methods of genetic operators such as a selection operation, an intersecting operation, a mutation operation and the like; and step seven, determining parameters such as a population scale Np, a intersecting probability Pc, a variation probability Pm, an evolution algebraically Nt and the like.