Intelligent ALMM System for Discrete Optimization Problems – The Idea of Knowledge Base Application

Abstract

The paper introduces the concept of intelligent information system for solving discrete optimization problems, named Intelligent ALMM System. The system is a new version of the software tool named ALMM Solver [8, 13]. The paper propose new idea of functioning the solver and its new, essentially extended structure. Presented in the paper Intelligent ALMM System not only solves discrete optimization problems, but also: assists its users in the selection of an appropriate solving method, helps configure algorithms and helps the development of problem model software representations. In order to implement this new idea the author proposes the use of a Knowledge Base linked with the Intelligent User Interface. Both ALMM Solver and Intelligent ALMM System utilize a modeling paradigm named Algebraic-Logical Meta-Model of Multistage Decision Processes (ALMM) and its theory both developed by Dudek-Dyduch E. ALMM enables a unified approach to creating discrete optimization problem models, representing knowledge about these problems and presenting solving methods and algorithms.