Improved Cuckoo Algorithm for Adaptive Adjustment of Discovery Probability
Kun Wang, Jia Liang Han, Khan Malak Abid Ali, Lian Xiaofeng · 2019
The Cuckoo Search Algorithm (CS) is a bio-inspired new swarm intelligent optimization algorithm. Aiming at the slow convergence speed and weak search ability of CS algorithm in the late stage of search, an improved cuckoo algorithm (APCS) for detecting the adaptive adjustment of probability parameters is proposed. Firstly, the state discriminant parameter Psis calculated by Pareto optimal solution and then the balance parameter Pebis calculated by exploring-exploiting the equilibrium state, finally the adaptive dynamic adjustment of the found probability Pebof the bird egg is realized. The performance of the two algorithms is analyzed by 10 benchmark functions in 10 and 30 dimensions. The results show that the convergence speed, optimization ability, stability and computation time of APCS algorithm are better than CS algorithm.