A Novel Bat Algorithm with Multiple Strategies Coupling for Numerical Optimization
AbstractA bat algorithm (BA) is a heuristic algorithm that operates by imitating the echolocation behavior of bats to perform global optimization. The BA is widely used in various optimization problems because of its excellent performance. In the bat algorithm, the global search capability is determined by the parameter loudness and frequency. However, experiments show that each operator in the algorithm can only improve the performance of the algorithm at a certain time. In this paper, a novel bat algorithm with multiple strategies coupling (mixBA) is proposed to solve this problem. To prove the effectiveness of the algorithm, we compared it with CEC2013 benchmarks test suits. Furthermore, the Wilcoxon and Friedman tests were conducted to distinguish the differences between it and other algorithms. The results prove that the proposed algorithm is significantly superior to others on the majority of benchmark functions. View Full-Text
Share & Cite This Article
Wang, Y.; Wang, P.; Zhang, J.; Cui, Z.; Cai, X.; Zhang, W.; Chen, J. A Novel Bat Algorithm with Multiple Strategies Coupling for Numerical Optimization. Mathematics 2019, 7, 135.
Wang Y, Wang P, Zhang J, Cui Z, Cai X, Zhang W, Chen J. A Novel Bat Algorithm with Multiple Strategies Coupling for Numerical Optimization. Mathematics. 2019; 7(2):135.Chicago/Turabian Style
Wang, Yechuang; Wang, Penghong; Zhang, Jiangjiang; Cui, Zhihua; Cai, Xingjuan; Zhang, Wensheng; Chen, Jinjun. 2019. "A Novel Bat Algorithm with Multiple Strategies Coupling for Numerical Optimization." Mathematics 7, no. 2: 135.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.