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Erschienen in:

2018 | OriginalPaper | Buchkapitel

6. Teaching-Learning-Based Optimization (TLBO) Algorithm

verfasst von : Parisa Sarzaeim, Omid Bozorg-Haddad, Xuefeng Chu

Erschienen in: Advanced Optimization by Nature-Inspired Algorithms

Verlag: Springer Singapore

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Abstract

This chapter is prepared to describe the Teaching-Learning-Based Optimization (TLBO) algorithm, a novel metaheuristic optimization method inspired by an educational classroom environment. It has an interesting exclusivity which may facilitate the solution process of optimization problems. In this chapter, a brief literature review of the TLBO algorithm is first presented. Then, the working process and two phases of TLBO (teacher phase and learner phase) are depicted. Eventually, a pseudocode of TLBO is presented.

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Bayram, A., Uzlu, E., Kankal, M., & Dede, T. (2015). Modeling stream dissolved oxygen concentration using teaching-learning based optimization algorithm. Environmental Earth Sciences, 73(10), 6565–6576.

Bouchekara, H. R. E. H., Abido, M. A., & Boucherma, M. (2014). Optimal power flow using teaching-learning-based optimization technique. Electric Power Systems Research, 114, 49–59.

García, J. A. M., & Mena, A. J. G. (2013). Optimal distributed generation location and size using a modified teaching-learning based optimization algorithm. Electrical Power and Energy Systems, 50, 65–75.

Ji, G., Wang, J., Ge, Y., & Liu, H. (2014). Urban water demand forecasting by LS-SVM with tuning based on elitist teaching-learning-based optimization. In Proceeding of 26th Chinese Control and Decision Conference, Changsha, China, May 31–June 2.

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Rao, R. V., & Patel, V. (2012). An elitist teaching-learners-based optimization algorithm for solving complex constrained optimization problems. International Journal of Industrial Computations, 3(4), 535–560.

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Rao, R. V., & Patel, V. (2013b). Multi-objective optimization of two stage thermoelectric cooler using a modified teaching-learning-based optimization algorithm. Engineering Applications of Artificial Intelligence, 26(1), 430–445.

Rao, R. V., & Kalyankar, V. D. (2012). Parameters optimization of machining process using a new optimization algorithm. Materials and Manufacturing Processes, 27(9), 978–985.

Roy, P. K. (2013). Teaching learning based optimization for short-term hydrothermal scheduling problem considering valve point effect. Electrical Power and Energy systems, 53, 10–19.

Roy, P. K., Sur, A., & Pradhan, D. K. (2013). Optimal short-term hydro-thermal scheduling using quasi-oppositional teaching learning based optimization. Engineering Applications of Artificial Intelligence, 26(10), 2516–2524.

Sultana, S., & Roy, P. K. (2014). Optimal capacitor placement in radial distribution systems using teaching learning based optimization. Electrical Power and energy systems, 54, 387–398.

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Titel: Teaching-Learning-Based Optimization (TLBO) Algorithm
verfasst von: Parisa Sarzaeim
Omid Bozorg-Haddad
Xuefeng Chu
Verlag: Springer Singapore
Buch: Advanced Optimization by Nature-Inspired Algorithms
Print ISBN: 978-981-10-5220-0

Electronic ISBN: 978-981-10-5221-7

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-981-10-5221-7_6

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