New crossover operator in float-point genetic algorithms
浮点遗传算法中一种新的杂交算子

To improve the convergent speed of float-point genetic algorithms, a new genetic operator named intergenerational differential crossover operator was proposed. The operator was applied to simulating parameter estimation of nonlinear system, and the resulted showed its validity and its superiority over a general crossover operator.