Review of applications of TLBO algorithm and a tutorial for beginners to solve the unconstrained and constrained optimization problems
The teaching-learning-based optimization (TLBO) algorithm is finding a large number of applications in different fields of engineering and science since its introduction in 2011. The major applications are found in electrical engineering, mechanical design, thermal engineering, manufacturing enginee...
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Published in | Decision Science Letters Vol. 5; no. 1; pp. 1 - 30 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
Growing Science
2016
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Subjects | |
Online Access | Get full text |
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Abstract | The teaching-learning-based optimization (TLBO) algorithm is finding a large number of applications in different fields of engineering and science since its introduction in 2011. The major applications are found in electrical engineering, mechanical design, thermal engineering, manufacturing engineering, civil engineering, structural engineering, computer engineering, electronics engineering, physics, chemistry, biotechnology and economics. This paper presents a review of applications of TLBO algorithm and a tutorial for solving the unconstrained and constrained optimization problems. The tutorial is expected to be useful to the beginners. |
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AbstractList | The teaching-learning-based optimization (TLBO) algorithm is finding a large number of applications in different fields of engineering and science since its introduction in 2011. The major applications are found in electrical engineering, mechanical design, thermal engineering, manufacturing engineering, civil engineering, structural engineering, computer engineering, electronics engineering, physics, chemistry, biotechnology and economics. This paper presents a review of applications of TLBO algorithm and a tutorial for solving the unconstrained and constrained optimization problems. The tutorial is expected to be useful to the beginners. |
Author | Venkata Rao, R. |
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Title | Review of applications of TLBO algorithm and a tutorial for beginners to solve the unconstrained and constrained optimization problems |
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