title: A novel complex valued cuckoo search algorithm.
abstract: To expand the information of nest individuals, the idea of complex-valued encoding is used in cuckoo search (PCS); the gene of individuals is denoted by plurality, so a diploid swarm is structured by a sequence plurality. The value of independent variables for objective function is determined by modules, and a sign of them is determined by angles. The position of nest is divided into two parts, namely, real part gene and imaginary gene. The updating relation of complex-valued swarm is presented. Six typical functions are tested. The results are compared with cuckoo search based on real-valued encoding; the usefulness of the proposed algorithm is verified.
authors.affiliation: College of Information Science and Engineering, Guangxi University for Nationalities, Nanning 530006, China. yongquanzhou@126.com
authors.forename: Yongquan
authors.initials: Y
authors.lastname: Zhou
authors.forename: Hongqing
authors.initials: H
authors.lastname: Zheng
mesh_terms: D000465:Algorithms; D000818:Animals; D032701:Biomimetics / Q000379:methods*; D001717:Birds / Q000502:physiology*; D057225:Data Mining / Q000379:methods*; D012098:Reproduction / Q000502:physiology*