17986973. CREATING DECISION OPTIMIZATION SPECIFICATIONS simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)

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CREATING DECISION OPTIMIZATION SPECIFICATIONS

Organization Name

INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor(s)

Yishai Abraham Feldman of Tel Aviv (IL)

Eliezer Segev Wasserkrug of Haifa (IL)

Aviad Sela of Yokneam (IL)

CREATING DECISION OPTIMIZATION SPECIFICATIONS - A simplified explanation of the abstract

This abstract first appeared for US patent application 17986973 titled 'CREATING DECISION OPTIMIZATION SPECIFICATIONS

Simplified Explanation

The disclosed approach involves receiving descriptive material, verifying solution constraints, computing an objective function value, generating output for an optimization engine, and processing the output to obtain optimization results.

  • Descriptive material is analyzed to determine if a solution meets problem constraints.
  • An objective function value is calculated based on the descriptive material.
  • The output is sent to an optimization engine for processing.
  • The optimization engine generates a set of optimization results based on the input.

Potential Applications

This technology could be applied in various fields such as engineering, finance, logistics, and operations research for optimizing solutions to complex problems.

Problems Solved

This technology helps in efficiently verifying solution constraints, computing objective function values, and generating optimization results, thereby improving decision-making processes.

Benefits

The approach streamlines the optimization process, enhances solution accuracy, and increases efficiency in finding optimal solutions to complex problems.

Potential Commercial Applications

Optimization software companies, consulting firms, and research institutions could utilize this technology to develop advanced optimization tools for various industries.

Possible Prior Art

One possible prior art could be traditional optimization techniques that involve manual verification of constraints and computation of objective function values.

Unanswered Questions

How does this approach handle large-scale optimization problems?

This article does not provide information on the scalability of the approach for handling large-scale optimization problems.

What is the computational complexity of the optimization engine used in this approach?

The article does not discuss the computational complexity of the optimization engine employed in this approach.


Original Abstract Submitted

An approach is disclosed that receives a set of descriptive material with logic that verifies whether a solution satisfies one or more problem constraints. The descriptive material also computes a value of an objective function that is achieved. The approach generates an output to input to an optimization engine. The output is based on analyzing the set of descriptive material. The approach then processes the output with the optimization engine with the processing resulting in a set of optimization results.