Genetic algorithm (GA) for multivariable surface grinding process optimisation using a multi-objective function model

International Journal of Advanced Manufacturing Technology

Volumn 17, Issue 5, 2001, Pages 330-338

  Saravanan, R ^a   Sachithanandam, M ^b  

^a SASTRA UNIVERSITY   (India)

^b Regional Engineering College   (India)

Author keywords

Genetic algorithm; Multi objective; Multivariable; Optimisation; Surface grinding

Indexed keywords

CONSTRAINT THEORY; GENETIC ALGORITHMS; MATHEMATICAL MODELS; OPTIMIZATION; PROCESS CONTROL; QUALITY CONTROL; STIFFNESS; SURFACE ROUGHNESS;

MULTIOBJECTIVE FUNCTION MODEL; MULTIVARIABLE SURFACE GRINDING; SURFACE QUALITY;

GRINDING (MACHINING);

EID: 0034808259     PISSN: 02683768     EISSN: None     Source Type: Journal    
DOI: 10.1007/s001700170167     Document Type: Article

References (11)

1. Practical approaches to grinding optimization
2. Adaptive control optimization of grinding
3. Micro-computer based optimization of the surface grinding process
4. Selection of operating parameters in surface grinding process using genetic algorithm (GA)
5. Optimization of CNC machining operations subject to constraints using genetic algorithm (GA)
6. Optimization of engineering designs using a combined genetic search
7. The optimization of machining operations based on a combined criterion, Part 1: The use of combined objectives in single pass operations
8. A comparative analysis of selection schemes used in genetic algorithms
9. Foundations of genetic algorithm