We proposed a novel technique to estimate the optimum parameter values in abrasive waterjet (AWJ) machining and used a hybrid of Kernel Principal Component ...

Hybrid kernel principal component regression and penalty strategy of multiple adaptive genetic algorithms for estimating optimum parameters in abrasive waterjet ...

Under this circumstance, multiple adaptive probabilities genetic algorithm (MAPGA) combined with a penalty method to solve the optimization problem is proposed.

The quality of machined surface can be improved by choosing the right values of the associated parameters through an optimization process.

... hybrid kernel principal component regression and penalty strategy of multiple adaptive genetic algorithms for estimating. ... parameters in Abrasive Waterjet ...

Abrasive Water Jet Machining process: A state of art of review · Hybrid kernel principal component regression and penalty strategy of multiple adaptive genetic ...

Apr 25, 2024 · ... regression and penalty strategy of multiple adaptive genetic algorithms for estimating optimum parameters in abrasive waterjet machining.

... principal component regression and penalty strategy of multiple adaptive genetic algorithms for estimating optimum parameters in abrasive waterjet machining.

Wibowo proposed a method that is a hybrid of KPCA, alpharegression quantile and adaptive genetic algorithm (AGA). This method overcomes the limitation of ...

2018: Hybrid kernel principal component regression and penalty strategy of multiple adaptive genetic algorithms for estimating optimum parameters in ...