Abstract:
An improved adaptive genetic algorithm based on ranking is presented.The conception of disruptive selection is brought into selection operator.The selection probability based on the ranking value of individual guarantees the maintaining of diversity in population and reservation of elitist.To improve the search capacity,the probabilities of crossover and mutation are also adaptively varied depending on the ranking value of individuals instead of fitness.Experimental results show that the improved adaptive genetic algorithm can sustain diversity in population efficiently and find the optimal individual quickly.