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TLBO – Teaching Learning Based Optimization Algorithm

Jyoti Jain

Abstract


This paper described Teaching Learning Based Optimization Algorithm (TLBO). The objective of this paper is to determine the effect of various parameters, for example, population size, number of iterations, etc. on the result of the algorithm. This paper concluded the population range and number of iterations range for obtaining best solutions with the help of this algorithm.


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References


https://en.wikipedia.org/wiki/Mathematical_optimization.

https://www.techtarget.com/whatis/definition/algorithm.

https://mech.iitm.ac.in/nspch52.pdf.

https://en.wikipedia.org/wiki/Metaheuristic.

https://www.geeksforgeeks.org/teaching-learning-based-optimization-tlbo/.

https://www.researchgate.net/figure/Flow-chart-of-TLBO-algorithm_fig1_339608780.

https://joiv.org/index.php/joiv/article/view/65.

https://www.sciencedirect.com/topics/computer-science/benchmark-function.

https://www.sfu.ca/~ssurjano/spheref.html.

https://www.sfu.ca/~ssurjano/booth.html.


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