Target distribution of resources determined on a basis of an optimization parameterization

A processing device having a processing circuit and a memory connected thereto, wherein the processing circuit is designed to provide a representation of a set of resources and to receive a set of use requests, wherein a use request is able to be met by allocating a resource to the use request;

• wherein the resources are categorized into resource classes so that resources of one resource class are interchangeable for meeting the use request;
• wherein the use request is able to be met by allocating a resource of a resource class requested by the use request for a specific period of use requested by the use request;
• wherein the processing circuit is designed to determine a target distribution of resources to use requests on a basis of an optimization parameterization;
• wherein the optimization parameterization is based on weightings of allocations of resources to use requests;
• wherein, to determine the target distribution, a starting solution is created that represents a distribution of resources to use requests, each use request having an allocation to precisely one resource;
• and
• wherein the target distribution is determined from the starting solution by moving one or more allocations from or to at least one resource in one or more movement steps on a basis of an optimization for the optimization parameterization;
• wherein to determine the target distribution, the starting solution is taken as a basis for performing movement steps for each of the resources for a number of iterations I, wherein I is at least 1, until an optimization appears on the basis of the optimization parameterization, wherein a resource distribution is determined following progressive coverage of all resources in an iteration;
• if an iteration is terminated, the resource distribution is used as the target distribution;
• if the iteration is continued, a further optimization is performed in a new iteration based on the resource distribution to achieve an intermediate distribution;
• wherein the number of iterations I is dynamically adapted by comparing the optimization parameterization for the resource distribution with a target value, such that a selection of iterations I balances computational effort and optimization;
• wherein the performing movement steps includes checking whether there is an optimization for one or more movement steps each time, and if there is an optimization for a step or a chain of steps, the target distribution is changed accordingly so that a changed distribution is taken into consideration for resources considered subsequently.