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A Novel Complex Valued Cuckoo Search Algorithm
oleh: Yongquan Zhou, Hongqing Zheng
Format: | Article |
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Diterbitkan: | Wiley 2013-01-01 |
Deskripsi
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.