To solve the problems of slow convergence speed,low search efficiency and the ease of falling into local optimum in the process of complex function optimization of genetic algorithm,an improved adap-tive genetic algorithm is proposed.The algorithm optimizes the coding length,population initialization meth-od,selection method,crossover and mutation operator adaptation mechanism and fitness function construc-tion method from the global perspective.The simulation results show that the algorithm has a significant im-provement in convergence speed,solution accuracy,stability,global optimization ability and so on,and shows excellent performance in complex function optimization problems.
关键词
遗传算法/种群初始化/收敛速度/自适应/函数优化
Key words
Genetic Algorithm/population initialization/rate of convergence/adaptive/optimization of function
维普
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