Abstract
A new hybrid algorithm named teaching–learning-based Cuckoo Search (TLCS) is proposed for constrained optimization problems. The TLCS modifies the Cuckoo Search (CS) based on the teaching–learning-based Optimization (TLBO) and then is applied for constrained engineering design problems. Experimental results on several well-known constrained engineering design problems demonstrate the effectiveness, efficiency, and robustness of the proposed TLCS. Moreover, the TLCS obtains some solutions better than those previously reported in the literature.
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Acknowledgment
This research work is supported by the National Basic Research Program of China (973 Program) under grant no. 2011CB706804.
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Huang, J., Gao, L., Li, X. (2015). A Teaching–Learning-Based Cuckoo Search for Constrained Engineering Design Problems. In: Gao, D., Ruan, N., Xing, W. (eds) Advances in Global Optimization. Springer Proceedings in Mathematics & Statistics, vol 95. Springer, Cham. https://doi.org/10.1007/978-3-319-08377-3_37
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