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Optimization of the idle time is the objective of the present work which is done by minimizing the idle tool path in drilling on CNC machining centres to improve productivity as a result of reducing the idle path time. The case is formulated as a traveling salesman problem and is solved using the Genetic Algorithm (GA). The Branch and Bound (B&B) optimization method was used for the sake of comparison with the Genetic Algorithm. The working mechanism of the GA was inspired by the nature which is based on the evolutionary process of biological organisms. The work is done in three steps, first step is the parameterization of the GA parameters (population size, replacement, crossover and mutation); Second step is the numerical study for the GA validation, for comparison between the GA and B&B and comparison between the GA and the current practice, the third step is the experimental verification of GA results.

OPTIMIZATION OF IDLE PATH IN DRILLING ON CNC MACHINING CENTRE USING THE GA