Differential evolution algorithm to allocate resources

A computerized resource allocation analysis method implemented via a back-end application computer server, comprising:

• receiving, by the back-end application computer server from a resource data store, information about a set of resource types to be analyzed, including associated resource parameters, wherein the resource data store is associated with an encrypted database management system and contains electronic records associated with a set of resource types, each electronic record including an electronic record identifier and resource parameter;
• if a constraint type is non-linear:
• executing a differential evolutionary algorithm to optimize the set of resource types based on the at least one non-linear constraint associated with net investment income and generate resource analysis results, wherein the differential evolution algorithm comprises a model-based metaheuristic optimization algorithm;
• if a constraint type is linear:
• executing a quadratic algorithm, instead of the differential evolutionary algorithm, to optimize the set of resource types based on the linear constraint and generate resource analysis results, thereby reducing an exchange of information associated with the back-end application computer server as compared to execution of the differential evolutionary algorithm,
• wherein the back-end application computer server performs a resampling process that uses non-parameterized historical data, regression on at least one resource type, and moment matching based on skew;
• and
• transmitting, via a communication port coupled to the back-end application computer server, data to a remote output device to generate a report, including the resource analysis results, via at least one security feature component and a distributed communication network.

A non-transitory, computer-readable medium storing instructions, that, when executed by a processor, cause the processor to perform a resource allocation analysis method implemented via a back-end application computer server, the method comprising:

• receiving, by the back-end application computer server from a resource data store, information about a set of resource types to be analyzed, including associated resource parameters, wherein the resource data store is associated with an encrypted database management system and contains electronic records associated with a set of resource types, each electronic record including an electronic record identifier and resource parameter;
• if a constraint type is non-linear:
• executing a differential evolutionary algorithm to optimize the set of resource types based on at least one non-linear constraint associated with net investment income and generate resource analysis results, wherein the differential evolution algorithm comprises a model-based metaheuristic optimization algorithm;
• if a constraint type is linear:
• executing a quadratic algorithm, instead of the differential evolutionary algorithm, to optimize the set of resource types based on the linear constraint and generate resource analysis results, thereby reducing an exchange of information associated with the back-end application computer server as compared to execution of the differential evolutionary algorithm,
• wherein the back-end application computer server performs a resampling process that uses non-parameterized historical data, regression on at least one resource type, and moment matching based on skew;
• and
• transmitting, via a communication port coupled to the back-end application computer server, to a remote output device to generate a report, including the resource analysis results, via at least one security feature component and a distributed communication network.