Cuckoo Algorithm Research And Application

On the basis of related presentations of the standard cuckoo algorithms,an improved cuckoo algorithm of dynamic step-size control factor based on logistic model is presented.The improved algorithms can automatically adjust step-size control factor during the running time,so it can keep the individuals diversity and improve searching ability of global optimum in the population at the initial generations.However,the algorithm is gradually stabilized with searching ability of local optimum improved at a later time.The parallel design and implementation of the standard cuckoo algorithm.Finally,research and exploration of the application on the improved algorithm in terms of multi-objective optimization problem,and a simple example is tested and the results show that the proposed algorithms can find the optimum faster.