Improved real coded hybrid genetic algorithm
一种改进的实数编码混合遗传算法

To solve such problems as premature convergence and slow evolving speed of the simple genetic algorithm during evolution,a comprehensive improved measure was put forward for the real coded genetic algorithm,including the netlike distribution of initial population creation,the best-keeping after operation of the genetic operators in each step,the improved dynamic crossover probability and dynamic self-adapting mutation probability.What's more,to replace the worst individual of current generation by the best one of the father generation was applied,and closed crossing avoidance as well. The numerical simulations show that the improved genetic algorithm is more effective in realizing the global optimization and promoting evolution efficiency,and has stronger adaptability in solving complex optimization problems.