Teaching–learning-based optimization algorithm for unconstrained and constrained real-parameter optimization problems
By R. Venkata Rao, Vimal J. Savsani, Joze Balic. 2012
325 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics
View Paper: https://www.semanticscholar.org/paper/9e3110493a5f30dbad4bb680bbac4f089b52579f
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In Artificial Intelligence
In Computational Theory and Mathematics
Citations in the corpus
- Truss topology optimization with static and dynamic constraints using modified subpopulation teaching–learning-based optimization (2016, methodology): “The TLBO algorithm has been compared on large-size constrained and unconstrained benchmark engineering design problems and proved to be a superior performer to other metaheuristics (Rao, Savsani, and Balic 2012; Rao and Savsani 2012; Lin et al. 2015).”