Abstract
This chapter presents the application of the TLBO and ETLBO algorithms on complex composite test functions each of which is formed by composing the basic standard benchmark functions to construct a more challenging function with randomly located global optimum and several randomly located deep local optima. The results of the applications prove the better competitiveness of the TLBO and ETLBO algorithms.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bergh, F., Engelbrecht, A.P., 2004. A cooperative approach to particle swarm optimization. IEEE Transactions on Evolutionary Computation. 8(3), 225–239.
Coello, C.A.C., Pulido, G.T., Lechuga, M.S., 2004. Handling multiple objectives with particle swarm optimization. IEEE Transactions on Evolutionary Computation, 8(3) 256–279.
Leung, Y.W., Wang, Y.P., 2001. An orthogonal genetic algorithm with quantization for global numerical optimization. IEEE Trans. on Evolutionary Computation, 5(1), 41–53.
Liang, J.J., Suganthan, P.N., Deb, K., 2005a. Novel composition test functions for numerical global optimization, IEEE Transactions on Evolutionary Computation, 5(1), 1141–1153.
Liang, J.J., Suganthan, P. N., Deb, K., 2005b. Novel composition test functions for numerical global optimization, Proceedings of IEEE Swarm Intelligence Symposium, SIS 2005, 8–10 June, 68-75.
Rao, R.V., Waghmare, G.G., 2013. Solving composite test functions using teaching-learning-based optimization algorithm. Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA), Advances in Intelligent Systems and Computing 199, 395–403, doi:10.1007/978-3-642-35314-7-45.
Zhong, W.C., Liu, J., Xue, M.Z., 2004. A multiagent genetic algorithm for global numerical optimization. IEEE Transactions on Systems, Man and Cybernetics 34, 1128–1141.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Rao, R.V. (2016). Application of TLBO and ETLBO Algorithms on Complex Composite Test Functions. In: Teaching Learning Based Optimization Algorithm. Springer, Cham. https://doi.org/10.1007/978-3-319-22732-0_3
Download citation
DOI: https://doi.org/10.1007/978-3-319-22732-0_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-22731-3
Online ISBN: 978-3-319-22732-0
eBook Packages: EngineeringEngineering (R0)