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针对复杂函数的最优化问题,提出了一种改进的适应度函数设计方法,并将这种适应度函数参与遗传算法对Rosenbrock函数进行了测试,仿真结果表明这种改进的适应度函数在进化的初期能提高算法的优化性能。
In order to solve the optimization problem of complex functions, an improved fitness function design method is proposed, and the Rosenbrock function is tested by using this fitness function in genetic algorithm. The simulation results show that the improved fitness function is evolving The initial optimization algorithm can improve the performance.