Abstract: Systems and methods are provided for generating solutions to decision analysis problems. The systems include a processor configured to: receive input data relating to a decision analysis problem, the input data including various parameters, wherein one or more of the parameters are in conflict, generate a plurality of the solutions based on the input data, wherein each of the plurality of solutions are from distinct homotopy classes, approximate a Pareto front using a multi-objective evolutionary algorithm, the Pareto front representing a collection of the plurality of the solutions that are not inferior to others of the plurality of the solutions in view of an entirety of the parameters in the input data, generate a course of action (COA) menu presenting solution architypes based on the Pareto front using a topological clustering algorithm, and display the COA menu on a visual display device.

Abstract: Various methods, apparatuses/systems, and media for implementing a generic parser module are disclosed. A repository that stores a plurality of files each having a corresponding file format. A processor accesses the repository to obtain the plurality of files and format each file into a class-based logical hierarchy. The processor also creates a Java model based on the formatted files having the class-based logical hierarchy, each file having a plurality of data and the Java model having file-level classes that contain a list of said plurality of data; generates Java annotations identifying each file type included in the file-level classes; injects the Java annotations into the file-level classes of the Java model to indicate how to process each file; calls a method along with the file containing the data; and parses the file to read the data into the Java model injected with the Java annotations.

Abstract: Various methods, apparatuses/systems, and media for implementing a generic parser module are disclosed. A repository that stores a plurality of files each having a corresponding file format. A processor accesses the repository to obtain the plurality of files and format each file into a class-based logical hierarchy. The processor also creates a Java model based on the formatted files having the class-based logical hierarchy, each file having a plurality of data and the Java model having file-level classes that contain a list of said plurality of data; generates Java annotations identifying each file type included in the file-level classes; injects the Java annotations into the file-level classes of the Java model to indicate how to process each file; calls a method along with the file containing the data; and parses the file to read the data into the Java model injected with the Java annotations.