Optimizing liquid classes for a laboratory automation device

A computer program for optimizing a liquid class for a laboratory automation device, which, when being executed by a processor, is adapted to carry out a method for optimizing a liquid class for a laboratory automation device, wherein the liquid class comprises control parameters for controlling the laboratory automation device when handling a liquid of a liquid type assigned to the liquid class with a pipette tip of a pipette tip type assigned to the liquid class, the method comprising:

• initializing a genetic algorithm with a start liquid class by generating a set of liquid classes by modifying control parameters of the start liquid class;
• and
• optimizing the liquid class iteratively with the genetic algorithm by:
• applying liquid classes from the set of liquid classes to the laboratory automation device, which performs at least one aspiration and dispensing measurement for each applied liquid class, wherein during an aspiration and dispensing measurement, the laboratory automation device is controlled with the control parameters of the respective applied liquid class and a dispensed volume of a liquid of the liquid type is measured;
• discarding liquid classes from the set of liquid classes responsive to a selection function that evaluates the at least one measured dispense volume for a liquid class;
• adding liquid classes to the set of liquid classes, where the liquid classes that are added are generated by modifying liquid classes from the set of liquid classes;
• and
• selecting an optimized liquid class from the set of liquid classes.

An optimization system for optimizing a liquid class for a laboratory automation device, the optimization system comprising:

• the laboratory automation device;
• and
• a computing device communicatively interconnected with the laboratory automation device, wherein:
• the computing device comprises a genetic algorithm optimizer module;
• and
• the optimization system is adapted for performing a method for optimizing a liquid class for a laboratory automation device, wherein the liquid class comprises control parameters for controlling the laboratory automation device when handling a liquid of a liquid type assigned to the liquid class with a pipette tip of a pipette tip type assigned to the liquid class, the method comprising:
• initializing a genetic algorithm with a start liquid class by generating a set of liquid classes by modifying control parameters of the start liquid class;
• and
• optimizing the liquid class iteratively with the genetic algorithm by:
• applying liquid classes from the set of liquid classes to the laboratory automation device, which performs at least one aspiration and dispensing measurement for each applied liquid class, wherein during an aspiration and dispensing measurement, the laboratory automation device is controlled with the control parameters of the respective applied liquid class and a dispensed volume of a liquid of the liquid type is measured;
• discarding liquid classes from the set of liquid classes responsive to a selection function that evaluates the at least one measured dispense volume for a liquid class;
• adding liquid classes to the set of liquid classes, where the liquid classes that are added are generated by modifying liquid classes from the set of liquid classes;
• and
• selecting an optimized liquid class from the set of liquid classes.