摘要
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。
Based on the global optimization of complex function, a method of improving fitness function is presented, and Rosenbrock function is tested by on improving fitness function in genetic algorithm. The simulation results show that the performance of optimum in algorithm is bettered in evolutionary initiative in this method,
出处
《电子工业专用设备》
2007年第12期66-67,共2页
Equipment for Electronic Products Manufacturing
关键词
遗传算法
仿真结果
适应度函数
Genetic algorithm
Simulation result
Fitness function
