Gaussian bare-bones cuckoo search algorithm
Hu Peng, Changshou Deng, Hui Wang, Wenjun Wang, Xinyu Zhou, Zhijian Wu · Proceedings of the Genetic and Evolutionary Computation Conference Companion · 2018
Cuckoo search (CS), as a relatively recent emerged swarm intelligence algorithm, is powerful and popular for the complex real parameter global optimization. However, the premature convergence has greatly affected the performance of original CS. Inspired from the individuals in the population will converge to the weighted average of global best and personal best in particle swarm optimization (PSO), we proposed a novel Gaussian bare-bones CS algorithm, named GBCS, in which the new solution for a cuckoo is generated by the Lévy flight or the Gaussian bare-bones method in a random manner. Experimental results have proved that the proposed algorithm is promising.