Method and a system for applying machine learning to an application

A system for applying machine learning to an application, comprising:

• a learner configured to generate a set of candidate parameters;
• at least one simulated application;
• machine readable instructions, comprising a program, that when executed in the at least one simulated application based on the set of candidate parameters are configured to provide interim results of tested sets of candidate parameters based on a measured performance information of the execution of the program;
• and
• a trainer configured to collect a predetermined number of interim results, the trainer being configured to provide an end result based on a combination of the candidate parameters and the measured performance information,
• wherein the learner is configured to generate a new set of candidate parameters based on the end result for execution by the unchanged program.

A program element that when executed on a system for applying machine learning to an application instructs the system to execute the following steps:

• a) generating a set of candidate parameters by a learner;
• b) executing a program in at least one simulated application based on the set of candidate parameters and providing interim results of tested sets of candidate parameters based on a measured performance information of the execution of the program;
• c) collecting a predetermined number of interim results and providing an end result based on a combination of the candidate parameters and the measured performance information by a trainer;
• and
• d) generating a new set of candidate parameters by the learner based on the end result for execution by the unchanged program.