Design of truss-structures for minimum weight using genetic algorithms

By Kalyanmoy Deb, S. Gulati. 2001

409 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

On simultaneous optimization of truss geometry and topology (2007, background): “We just mention the two references, Galante (1996) and Deb and Gu (2001) , and the references therein on behalf of many others.”
Multi-objective topology optimization of multi-component continuum structures via a Kriging-interpolated level set approach (2014, methodology): “Non-gradient methods such as genetic algorithms (GA) (Deb and Gulati 2001; Madeira et al. 2005) on the other hand can solve for any defined objective(s) and are not easily trapped in local optima.”
Evolutionary computation and structural design: A survey of the state-of-the-art (2005, neutral): “[299] Deb, K.”
A framework for data-driven analysis of materials under uncertainty: Countering the curse of dimensionality (2017, background): “Alternatively, optimization techniques such as genetic algorithms [108] may also provide a way to circumvent the need for machine learning by providing a direct method for sampling the design space and finding local optima without building a response surface model [16,19,20,93,94].”