Optimization of cutting process by GA approach

By F. Čuš, Joze Balic. 2003

306 citations recorded by the source corpus.

Subfields: Industrial and Manufacturing Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/d924a2f00fe7982cdc7d85a4edc894d18451a245

How researchers see this paper

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

In Industrial and Manufacturing Engineering

1. Ramón Quiza Sardiñas
2. Eleno Alfonso Brindis
3. Marcelino Rivas Santana

In Mechanical Engineering

1. Ramón Quiza Sardiñas
2. Eleno Alfonso Brindis
3. Marcelino Rivas Santana

Citations in the corpus

• Genetic algorithm-based multi-objective optimization of cutting parameters in turning processes (2006, methodology): “Some multi-objective approaches have been reported in cutting parameters optimization (Lee and Tarng, 2000; Zuperl and Cus, 2003; Cus and Balic, 2003), but mainly they use a priori techniques, where the decision maker combines the different objectives into a scalar cost function.”